Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Wang, Guilian | Zhang, Liyan | Guo, Jing

Article Type: Research Article

Abstract: This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level …of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations. Show more

Keywords: MSEs, level of AMT application, social-technical system theory, ordinal logistic regression

DOI: 10.3233/JIFS-189663

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Liu, Peide | Wang, Dongyang | Zhang, Hui | Yan, Liang | Li, Ying | Rong, Lili

Article Type: Research Article

Abstract: T-spherical fuzzy numbers (FNs), which add an abstinence degree based on membership and non-membership degrees, can express neutral information conveniently and have a considerable large range of information expression. The normal FNs (NFNs) are very available to characterize normal distribution phenomenon widely existing in social life. In this paper, we first define the normal T-SFNs (NT-SFNs) which can combine the advantages of T-SFNs and NFNs. Then, we define their operational laws, score value, and accuracy value. By considering the interrelationship among multi-input parameters, we propose the Maclaurin symmetric mean operator with NT-SFNs (NT-SFMSM) and its weighted form (NT-SFWMSM). Furthermore, we …study some characteristics and special cases of them. Based on the NT-SFWMSM operator, we put forward a novel multi-attribute decision-making (MADM) approach. Finally, some numerical examples are conducted to prove that the proposed approach is valid and superior to some other existing methods. Show more

Keywords: MADM, normal T-spherical fuzzy numbers, normal distribution

DOI: 10.3233/JIFS-202000

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-23, 2021

Authors: Shao, Weiwei | Zhang, Handong | Wu, Yuxiu | Sheng, Na

Article Type: Research Article

Abstract: If robot uses 2D lidar or binocular camera to locate obstacles, there will be some problems such as missing obstacle information or inaccurate obstacle locating, which will affect the normal work of the robot. In order to obtain accurate 3D obstacle information, this paper proposes an algorithm for fusing 2D lidar and binocular vision to complete the obstacle location. In this paper, the depth value of the 2D lidar point cloud is used as a benchmark. By fitting the error equation of the binocular camera point cloud depth value, the depth value of the camera point cloud is modified to …obtain an accurate 3D camera point cloud, thereby obtaining an accurate 3D obstacle information. Many experiments have proved that the fusion algorithm of 2D lidar and binocular vision can obtain accurate 3D obstacle information. The method of fusion 2D lidar and binocular vision can approximately achieve the measurement effect of 3D lidar, and the point cloud of obstacles is relatively dense, so the accurate 3D obstacle information can be obtained. This method can reduce the influence of single sensor on the robot locating obstacles, thus completing the accurate locating of obstacles, which is of certain significance to robot navigation. Show more

Keywords: 2D lidar, binocular camera, robot, fusion algorithm

DOI: 10.3233/JIFS-189698

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Wang, Chunxia

Article Type: Research Article

Abstract: The multifractal behaviors in financial markets results from temporal correlations as well as broad distribution. To evaluate the intrinsic multifractality caused by temporal correlations, surrogate approach is employed under the rank order remapping technique and sign randomization. In contrast to raw multifractality, it is found that intrinsic multifractality is more stable across many years. In this work, we utilize ANFIS model for estimating the intrinsic multifractality in financial returns. Furthermore, the intrinsic multifractality of serial major instruments are highly correlated, which can be served as an index of global market.

Keywords: Multifractality, financial market, surrogate, temporal correlation, ANFIS model

DOI: 10.3233/JIFS-189674

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Nadeem, Asim | Kashif, Agha | Zafar, Sohail | Zahid, Zohaib

Article Type: Research Article

Abstract: The partition dimension is a variant of metric dimension in graphs. It has arising applications in the fields of network designing, robot navigation, pattern recognition and image processing. Let G  (V  (G ) , E  (G )) be a connected graph and Γ  = {P 1 , P 2 , …, P m } be an ordered m -partition of V  (G ). The partition representation of vertex v with respect to Γ is an m -vector r  (v |Γ ) = (d  (v , P 1 ) , d  (v , P 2 ) , …, d  (v , P m …)), where d  (v , P ) = min  {d  (v , x ) |x  ∈ P } is the distance between v and P . If the m -vectors r  (v |Γ ) differ in at least 2 positions for all v  ∈ V  (G ), then the m -partition is called a 2-partition generator of G . A 2-partition generator of G with minimum cardinality is called a 2-partition basis of G and its cardinality is known as the 2-partition dimension of G . Circulant graphs outperform other network topologies due to their low message delay, high connectivity and survivability, therefore are widely used in telecommunication networks, computer networks, parallel processing systems and social networks. In this paper, we computed partition dimension of circulant graphs C n  (1, 2) for n  ≡ 2 (mod 4), n  ≥ 18 and hence corrected the result given by Salman et al. [Acta Math. Sin. Engl. Ser. 2012, 28, 1851-1864]. We further computed the 2-partition dimension of C n  (1, 2) for n  ≥ 6. Show more

Keywords: Network topology design, Circulant graphs, partition dimension, k-partition dimension

DOI: 10.3233/JIFS-201982

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Chang, Zhengyan | Zhang, Zhengwei | Deng, Qiang | Li, Zheren

Article Type: Research Article

Abstract: The artificial potential field method is usually applied to the path planning problem of driverless cars or mobile robots. For example, it has been applied for the obstacle avoidance problem of intelligent cars and the autonomous navigation system of storage robots. However, there have been few studies on its application to intelligent bridge cranes. The artificial potential field method has the advantages of being a simple algorithm with short operation times. However, it is also prone to problems of unreachable targets and local minima. Based on the analysis of the operating characteristics of bridge cranes, a two-dimensional intelligent running environment …model of a bridge crane was constructed in MATLAB. According to the basic theory of the artificial potential field method, the double-layer artificial potential field method was deduced, and the path and track fuzzy processing method was proposed. These two methods were implemented in MATLAB simulations. The results showed that the improved artificial potential field method could avoid static obstacles efficiently. Show more

Keywords: Artificial potential field, intelligent bridge crane, path planning, static environment

DOI: 10.3233/JIFS-189696

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Zheng, Wang

Article Type: Research Article

Abstract: With the deepening of reform and opening up, the social management function of county government is becoming more and more important. As one of the symbols of the maturity of modern country, public service function is not only a test of the comprehensive ability of the country, but also a profound practice of serving the people. Aiming at the problem that traditional genetic algorithm is easy to fall into local optimal solution and its performance is unstable, an adaptive genetic algorithm (CEAGA) based on co-evolution is proposed. And then combined with some of the constraints inherent in the battlefield situation, …a comprehensive evaluation model was established. The analysis on social cooperative governance is carried based on the fuzzy TOPSIS which is utilised for making multi criteria decision making situations. Research shows that the innovation of the public service supply mechanism must respect the reality of China’s political ecology, ensure the government’s dominant position in the governance of public affairs, and at the same time correctly respond to the development of social forces. The theory of collaborative governance also provides a new research perspective for the innovation and development of public service mechanisms. Show more

Keywords: Improved genetic algorithm, social collaborative governance, public service, supply mechanism innovation, fuzzy TOPSIS

DOI: 10.3233/JIFS-189673

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Wang, Hongyi

Article Type: Research Article

Abstract: The ultimate goal of listed companies is to maximize shareholders’ wealth. With the increasingly fierce market competition, enterprise managers are constantly exploring the key indicators that have an important impact on the financial performance (FP) of enterprises, and achieve the expected FP of shareholders by improving these key indicators. On the basis of the existing enterprise performance measurement system and index research, through expert scoring to determine the secondary indicators, this paper selects 87 small and medium-sized board listed companies which officially announced the implementation of equity incentive from 2009 to 2012 as the sample, takes the financial information disclosed …in 2013 as the empirical data, and analyzes the traditional multiple linear regression analysis (MLR) When dealing with big data, especially the data with hierarchical structure, this paper proposes a partial regression coefficient calculation model based on hierarchical data, constructs a multiple nonlinear regression model, and concludes through empirical analysis that there is a nonlinear correlation between equity incentive ratio and corporate performance, and that there is an interval effect between equity incentive ratio and corporate performance. We also present Fuzzy based financial performance prediction of listed companies. Finally, we demonstrate Comparative analysis for financial prediction in term of accuracy between multiple regression model and fuzzy logic system and result deduce that fuzzy logic gives better accuracy than regression model. Show more

Keywords: Multiple linear regression, data mining, hierarchical data, superior company finance; performance influencing factors

DOI: 10.3233/JIFS-189675

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Shi, Ruyi | Wang, Di | Zhao, Yueying

Article Type: Research Article

Abstract: From the perspective of external market shocks, this paper proposed Fuzzy integrated vector auto regression (FVAR) model that determines the long-term basis and short-term basis interactions of China’s coal price with international energy prices. The proposed FVAR preform coal price fluctuation based on long-term and short term span in six stages including unit root testing, Johansen cointegration test, vector auto regression (VAR) model construction, Fuzzification of VAR model, vector error correction (VEC) model and an impulse response function(IRF). It is observed that there is a steady long-term stability and equilibrium bond between the China’s domestic coal price, international coal price …and the international crude (unrefined) oil price. The international coal and international crude oil price have an opposite effect on China’s domestic coal price. In addition, the former has a stronger fuzzy price discovery function on China’s domestic coal market than the latter. In the short term, China’s domestic coal price is more complex to instability reactions and is affected by market expectations. The international energy market is more effective than domestic coal market, and there is a relatively stable price adjustment mechanism between the two, with the international coal price playing a leading role in the fuzzy guidance of China’s coal price. Therefore, in reference to international energy pricing models, the paper proposes a fuzzy pricing model for a coal futures index based on the coal futures trading price and supplemented by the premium and discount agreed to by both trading parties. Show more

Keywords: China’s coal price, international energy market, fuzzyprice discovery, shocks, fuzzy linear regression, vector autoregressive (VAR) model, vector error correction (VEC) model, impulse response function(IRF)

DOI: 10.3233/JIFS-189665

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Bao, Jun

Article Type: Research Article

Abstract: The dual generalized Bonferroni mean (DGBM) operator is a meaningful decision-making tool which can consider the relationship between any numbers of being fused arguments and has been applied to many MAGDM domains in past few years. The intuitionistic fuzzy sets (IFSs), which is characterized by the functions of membership degree and non-membership degree, has been investigated by numerous scholars. In this manuscript, combine the DGBM operator and IFSs, the major contribution and objective of the work is to develop two new aggregation operators: the dual generalized intuitionistic fuzzy BM (DGIFBM) operator and the dual generalized intuitionistic fuzzy weighted BM (DGIFWBM) …operator. The last, we give an application example for evaluating the green technological innovation ability of the enterprises and some comparative analysis to testify the effective and scientific of our developed methods. Show more

Keywords: Multiple attribute group decision making (MAGDM), intuitionistic fuzzy sets (IFSs), DGBM operator, DGIFBM operator, DGIFWBM operator, green technological innovation ability of the enterprises

DOI: 10.3233/JIFS-202194

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-21, 2021

Authors: Liu, Ziyu | Li, Ying | Zhao, Lixia | Guo, Pengtao

Article Type: Research Article

Abstract: The intelligent inquiry system for metro electro-mechanical equipment faults based on the knowledge graph can effectively consolidate various semi-structured failure messages, and can provide users with quick, accurate and high-quality intelligent inquiry services such as equipment fault causes-researching and solutions-delivering, which could be really relevant to this research field and application areas. The recorded date which related to metro electromechanical equipment failures were in this research collected, consolidated and converted, so that these failures could be stored in our databases. In this context, various functions of the intelligent inquiry system have been implemented, including: natural language question analysis, language Cypher-based …question and answer design, Naive Bayesian classification based on characteristic core words, and user interaction interface realization. The experimental results show that the system can effectively solve the problems related to fault handling in metro mechanical and electrical equipment, thus improving the efficiency of equipment fault maintenance. Show more

Keywords: Intelligent inquiry, the knowledge graph, mechanical and electrical equipment fault, system construction, Neo4j

DOI: 10.3233/JIFS-189695

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2021

Authors: Jia, Yufang

Article Type: Research Article

Abstract: China’s tourism industry has made remarkable achievements since reframing and beginning, but the imbalanced expansion of regional tourism has become increasingly severe. This paper involves the analysis of combining index analysis and factor analysis and employs SPSS software to make a quantitative analysis on the differences and the contributory factors of the tourism economy in Yangtze River Delta in China from 2006 to 2016. The results have demonstrated that there exists an imbalance in the development of tourism economy in the Yangtze River Delta, and that there is a significant spatial difference with a yearly trend of decrease. Besides, a …major gap lies among the comprehensive development level of tourism economy of the cities in the Yangtze River Delta. In this paper, Fuzzy analytic hierarchy process is used for making decision based analysis process for tourism economy. The comprehensive development level of tourism economy in Shanghai, Suzhou and Nanjing is much higher than that in other cities. Tourism resources endowment, tourism reception facilities and the development level of regional economy are important contributory factors of the regional differences of economy based on tourism in river delta of Yangtze, and there exists an extremely obvious positive correlation. Show more

Keywords: Tourism economy, Yangtze River Delta Region, Regional differences, Contributory factors, Fuzzy

DOI: 10.3233/JIFS-189653

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Mortaji, Seyed Taha Hossein | Noori, Siamak | Bagherpour, Morteza

Article Type: Research Article

Abstract: Earned value management is well-known as the most efficient method of project monitoring and control providing relatively reliable information about the project performance. However, this method requires accurate estimates of the progress of project activities, which are always associated with uncertainties that, if ignored or not addressed well, lead to incorrect results. To address this issue, the application of multi-valued logic, in particular fuzzy logic, in earned value management has recently attracted a lot of attention both in practice and research. This paper introduces directed earned value management (DEVM) in which ordered fuzzy numbers are used to express the so-called …uncertainties as well as to capture more information about the trend of the project progress. To evaluate the performance of the proposed method, several numerical examples and a case study are presented. The results reveal that compared to the existing methods, DEVM has a lower computational complexity. Also, it doesn’t suffer from the overestimation effect and as a result, it has a higher ability to express project-specific dynamics. In sum, the proposed method allows project managers to make informed decisions that lead to taking preventive and corrective actions promptly and at a lower cost. Show more

Keywords: Earned value management, fuzzy earned value management, fuzzy performance indicators, ordered fuzzy numbers, directed earned value management

DOI: 10.3233/JIFS-201248

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Hu, Miao | Peng, Junjie | Zhang, Wenqiang | Hu, Jingxiang | Qi, Lizhe | Zhang, Huanxiang

Article Type: Research Article

Abstract: Intent recognition is one of the most essential foundations as well as a very challenging task for language understanding, especially for spoken language. As spoken text is short, and lack of full context. Moreover, it may mix multi-language forms. These non-standard spoken expressions further lead to the shortage of text information. In consideration that sparse text information seriously affects the effect of intention understanding, a multi-feature fusion-based intent recognition model for the bilingual phenomenon mixed with Chinese and English is proposed. Combining word2vec and multilingual wordNets with the same synset_id (synonym set id), the model can mask the differences between …different languages. Meanwhile, it can enrich the information representation of the spoken text by fusing the word intention features with the context-dependent features represented by transformer as well as the word frequency features. To verify the correctness and effectiveness of the model, extensive experiments were conducted on a real online logistics customer service platform and SMP2018-ECDT dataset. The results show that our model is superior to other models. And it improves the accuracy of intent recognition in logistics data by 20% compared with that of transformer. Show more

Keywords: Intent recognition, word intent feature, context dependency, wordNet

DOI: 10.3233/JIFS-202365

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Yan, Chunxiao | Huang, Ziyue

Article Type: Research Article

Abstract: This paper relates the illustration of policy related to monetary announcement on various international commodity price and explore the similarities and differences of the effect in QE1, QE2, QE3, exit stage and interest hike stage through event study method and the whole sample VAR model and rolling sample VAR model. Results show that: (1) the implementation of unconventional monetary policy has a significant positive effect on the international commodity market, while the exit plan and the interest rate increase policy have some negative effects on the commodity markets, but the effects are not significant. (2) In terms of the VAR …whole samples, it can be seen that unconventional policies of monetary simulated by reserve of federal have an importance in impact on international commodity prices. This paper developed a approach of fuzzy binomial that can be utilized in various projects using commodity prices using uncertainty. In terms of the analysis of the rolling samples, the cumulative effect on commodity prices during QE1 and QE2 are stronger than that of QE3, exit stage and interest rate hike stage in general. Show more

Keywords: Monetary policy, commodity price, event study, VAR model, fuzzy binomial

DOI: 10.3233/JIFS-189656

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: GAO, Yang | GAO, Xiang

Article Type: Research Article

Abstract: With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve …the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest. Show more

Keywords: Technology linkage, innovation drive, economic network, fuzzy-Integrated TOPSIS, technique for order of preference by similarity to ideal solution (TOPSIS)

DOI: 10.3233/JIFS-189661

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Shu, Yufeng | Zhang, Liangchao | Zuo, Dali | Zhang, Junhua | Li, Junlong | Gan, Haoquan

Article Type: Research Article

Abstract: If the appearance of an eco-friendly textile fabric is problematic, the product quality will be substantially deteriorated. Defect measurement is one of the most important quality control measures for eco-friendly textile fabrics. Compared to previously employed manual measurements, the application of image processing technology for the detection of eco-friendly textile defects is characterized by high efficiency and high precision. In this study, the main objectives of textile reinforcement based on texture enhancement are as follows:(1) Summarize the description methods of texture maps in a certain space and a certain frequency and investigate the gray-scale co-occurrence matrix of textile fabrics, which …aimed at the characteristics of a unique texture of textile fabrics, the texture of the background caused by noise, and the texture of the defect area. The error between them was analyzed; (2) Apply a scheme based on principal component analysis-non local means to improve the eco-friendly textile quality. The image information used in the calculation process of the neighborhood similarity in nonlocal average filtering algorithm (NLM) includes the problem of an excess amount due to noise, and the NLM method is employed to estimate the parameters. On the other hand, to remove the noise, it is also possible to display the texture image content of the textile fabric, which is more conducive to the defect detection; and (3) Apply a texture-based textile defect measurement method, that is, a class-separable characteristic between non-defective and defect textures, which increases the measurement of the gray matrix characteristics that distinguish the defect regions and improves the correctness of the detected texture. Summarize the description methods of texture maps in a certain space and a certain frequency and investigate the gray-scale co-occurrence matrix of textile fabrics, which aimed at the characteristics of a unique texture of textile fabrics, the texture of the background caused by noise, and the texture of the defect area. The error between them was analyzed; Apply a scheme based on principal component analysis-non local means to improve the eco-friendly textile quality. The image information used in the calculation process of the neighborhood similarity in nonlocal average filtering algorithm (NLM) includes the problem of an excess amount due to noise, and the NLM method is employed to estimate the parameters. On the other hand, to remove the noise, it is also possible to display the texture image content of the textile fabric, which is more conducive to the defect detection; and Apply a texture-based textile defect measurement method, that is, a class-separable characteristic between non-defective and defect textures, which increases the measurement of the gray matrix characteristics that distinguish the defect regions and improves the correctness of the detected texture. Show more

Keywords: Texture enhancement, cloth, eco-friendly textile defect, detection method

DOI: 10.3233/JIFS-189704

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Xie, Yi | Wang, Yulin | Ma, Maode

Article Type: Research Article

Abstract: Today, the manner in which we communicate has greatly advanced. The technology is not just about machines, but people with technology together. Machine-to-machine (M2M) communication is unavoidable in the Internet of things. However, at the same time, there are more attacks against the M2M system. Therefore, a reliable and secure authentication mechanism is required. Blockchain technology is decentralized and highly secure while being tamper-proof. This protects M2M service providers by eliminating the single point of failures. This paper proposes a blockchain-based authentication scheme that uses a practical Byzantine fault tolerance (pBFT) consensus mechanism for M2M security in cyber physical systems. …By implementing a blockchain to an M2M system, it provides an ID for devices on the blockchain. Simulation results have shown that the data on the chain cannot be altered. A pBFT consensus algorithm also ensures that the blockchain network is able to come to a consensus with faults. Show more

Keywords: Machine-to-machine communication, blockchain, pBFT consensus algorithm

DOI: 10.3233/JIFS-189702

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2021

Authors: Lan, Chongfeng

Article Type: Research Article

Abstract: Considering the ubiquity of consumer balking behavior (CBB) in real-life economics and the importance of product quality control (QC) to supply chain (SC) competitiveness, this paper explores the SC coordination under both the QC and the CBB. Specifically, the consumer’s loss aversion behavior was illustrated at a fixed balking probability, and the SC models were created for centralized and decentralized decision-making modes. After that, the optimal strategies for the retailer and the manufacturer were identified, and the comparative static analysis was adopted to explore the effects of the CBB and QC on the optimal decision-making of the SC. The research …results show that the QC-based SC under the CBB cannot be coordinated by wholesale price contract alone, but can be coordinated perfectly by this contract when the retailer shares the quality effort and the manufacturer shares the oversupply cost and analyzed through the fuzzy environment with the formulation. This finding sheds new light on the theory and application of wholesale price contract in SC coordination. Finally, the parameter sensitivity analysis was performed on balking probability and product qualification rate (PQR) through numerical experiments, which further discloses the impacts of the CBB and product QC on the optimal decision-making and profit of the SC. Show more

Keywords: Quality control (QC), fuzzy formulation, consumer balking behavior (CBB), supply chain (SC), cost sharing, coordination

DOI: 10.3233/JIFS-189652

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Wen, Yuebing | Tan, Jianping | Sang, Yanwei

Article Type: Research Article

Abstract: In order to solve the problems, such as the asymmetry, complex control methods, inconsistent dynamic characteristics for positive/negative directions and poor stability for asymmetric control system, in this paper, a system symmetric control method based on state feedback was brought out and the state space mathematical model was derived for valve controlled hydraulic cylinder system. With the symmetric control method of the state feedback, the valve controlled asymmetric hydraulic system can be converted into state space symmetric system, then the unified control method can be used for positive and negative directions after conversion, finally the feedback link of the system …was educed. Through simulation, the accuracy of the model and the effectiveness of the control method were verified. Through experiments, the input and output characteristics and load response characteristics of the system before and after conversion were compared. It was concluded that the system had symmetric characteristics for inputs and outputs, and better load response characteristics after conversion. This study can be a base for the application of symmetric control theory to large asymmetric hydraulic systems and was of great help to realize symmetric control of large asymmetric hydraulic systems. Show more

Keywords: Valve controlled asymmetric cylinder system, state feedback, fuzzy symmetrical compensation, fuzzy symmetrical

DOI: 10.3233/JIFS-189705

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Sun, Tiebo | Liu, Jinhao | Kan, Jiangming | Sui, Tingting

Article Type: Research Article

Abstract: Aiming at the problem of automatic classification of point cloud in the investigation of vegetation resources in the straw checkerboard barriers region, an improved random forest point cloud classification algorithm was proposed. According to the problems of decision tree redundancy and absolute majority voting in the existing random forest algorithm, first the similarity of the decision tree was calculated based on the tree edit distance, further clustered reduction based on the maximum and minimum distance algorithm, and then introduced classification accuracy of decision tree to construct weight matrix to implement weighted voting at the voting stage. Before random forest classification, …based on the characteristics of point cloud data, a total of 20 point cloud single-point features and multi-point statistical features were selected to participate in point cloud classification, based on the point cloud data spatial distribution characteristics, three different scales for selecting point cloud neighborhoods were set based on the point cloud density, point cloud classification feature sets at different scales were constructed, optimizing important features of point cloud to participate in point cloud classification calculation after variable importance scored. The experimental results showed that the point cloud classification based on the optimized random forest algorithm in this paper achieved a total classification accuracy of 94.15% in dataset 1 acquired by lidar, the overall accuracy of classification on dataset 2 obtained by dense matching reaches 92.03%, both were higher than the unoptimized random forest algorithm and MRF, SVM point cloud classification method, and dimensionality reduction through feature optimization can greatly improve the efficiency of the algorithm. Show more

Keywords: Straw checkerboard barriers, random forest, point cloud characteristics, point cloud classification

DOI: 10.3233/JIFS-189694

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Meng, Haoyang | Dong, Sheng | Zhou, Jibiao | Zhang, Shuichao | Li, Zhenjiang

Article Type: Research Article

Abstract: Green flash light (FG) and green countdown (GC) are the two most common signal formats applied in green-red transition that provides drivers additional alert before termination of green phase. Due to their importance and function in stop-pass decision-making process, proper use of them has become a critical issue to greatly improve the safety and efficiency of signalized intersections. Gradually e-bike riders have become more important commuters in China, however, the influence of FG or GC on them is not clear yet and need pay more attention to it. This study chooses two almost identical intersections to obtain highly accurate trajectory …data of e-bike riders to study their decision-making behaviors under FG or GC. The e-bike riders’ behavior is classified into four categories and is to identify their stop-pass decision points using the acceleration trend. Two binary-logit models were built to predict the stop–pass decision behaviors for the different e-bike rider groups, explaining that the potential time to the stop-line is the dominant independent factor of the different behaviors of GC and FG. Furthermore empirical analysis of decision points indicated that GC provides the earlier stop-pass decision point and longer decision making duration on the one side while results in more complexity of decision making and greater risk of stop-line crossing than FG on the other side. Show more

Keywords: Driving behavior, flashing green, green countdown, e-bikes, stop-pass decision

DOI: 10.3233/JIFS-189700

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Tang, Yongwei | Hao, Huijuan | Zhou, Jun | Lin, Yuexiang | Dong, Zhenzhen

Article Type: Research Article

Abstract: AGV (Automated Guided Vehicle) technology has attracted increasing attention. Precise control of AGV position and attitude information in complex operating environment is a key part of smart factories. With outdoor AGV as a platform, this study uses BDS/INS combined navigation system combining Beidou positioning system and inertial navigation system and takes the velocity and position difference between BDS and INS as a model. An integrated navigation method is proposed to improve bee colony algorithm and optimize the BP neural network-assisted Kalman filtering to achieve accurate positioning. Moreover, the optimization of BP neural network navigation using INS navigation, network-assisted navigation and …bee colony algorithm is simulated. Results demonstrate that the integrated navigation algorithm has effectiveness and feasibility, and can solve the problems of BDS misalignment and large INS navigation error in complex environments. Show more

Keywords: AGV, BDS/INS integrated navigation, Kalman filter, neural network, bee colony algorithm

DOI: 10.3233/JIFS-189690

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Diao, Lijuan | Song, Shoujun | Cao, Gaofang | Kong, Yang

Article Type: Research Article

Abstract: Temporal knowledge base exists on various fields. Take medical medicine field as example, diabetes is a typical chronic disease which evolves slowly. This paper starts from actual EMR data of hospitals by combination of experience and knowledge of clinical doctors. Link prediction on clinical knowledge base such as diabetic complication requires the analysis on temporal characteristic of temporal knowledge base, which is a great challenge for traditional link prediction models. This paper proposes temporal knowledge graph link prediction model based on deep learning. This model selects the TransR transformation model suitable for big data and makes entity projection in relation …space containing different semantic meanings, so as to vector the entities and complex semantic relations in graph. Then it adopts LSTM recursive neural network and adds the top-bottom relational information of the graph for sequential learning. Finally it constantly carries out deep learning through incremental calculation and LSTM recursive network to improve the accuracy of prediction. The incremental LSTM model highlights the hidden semantic and clinical temporal information and effectively utilizes sequential learning to mining forward-backward dependent information. It compensates the deficiency of lower prediction accuracy on timely knowledge graph caused by the traditional link prediction models. Finally, it is proved that the new model has better performance over temporal knowledge graph link prediction. Show more

Keywords: Temporal knowledge graph, knowledge graph link prediction, translation model TransR, long short term memory (LSTM) networks, incremental learning, deep learning

DOI: 10.3233/JIFS-189687

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Zhang, Qiang | Zhang, Jiayao | Tian, Ying

Article Type: Research Article

Abstract: The performance of the pick gradually degrades under the cyclic complex load, so it is difficult to realize the state prediction, in order to be able to accurately predict the pick degradation state, this paper develops a test system for the wear degradation of pick, the method of experimental analysis and numerical simulation is adopted, Multi-signal fusion model of vibration and acoustic emission was constructed, the grey prediction and the Gamma method of Bayesian parameter updating are used to realize the application of the degenerate data, the results prove that the relative error of grey prediction under vibration signal is …only 0.45%, the relative error of the Gamma model was 0.57%, the relative error of the Gamma model under Bayesian updating was 0.22%, the three models have good prediction accuracy, the prediction error of the Gamma model under Bayesian updating is minimal. Show more

Keywords: Pick wear, pick degradation, grey prediction, gamma process

DOI: 10.3233/JIFS-189684

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Ji, Wenjiang | Chen, Cheng | Xie, Guo | Zhu, Lei | Wang, Yichuan | Pan, Long | Hei, Xinhong

Article Type: Research Article

Abstract: With the development of intelligent transportation system, the maintenance of railway turnout is an essential daily task which was required to be efficiency and automatically. This paper presents an intelligent diagnosis method based on deep learning curve segmentation and the Support Vector Machine. Firstly, we studied the curve segmentation approach of the real-time monitoring power data collected form turnout, for which is an essential step and do a great help to improve the diagnose accuracy. Then based on the well pre-processed data sets, the SVM algorithm was applied to classify the samples and report the health states of the turnout …which under testing. At last, the experiments were taken on the power data curve collected from the real turnouts, during which we compared the new diagnose method with conventional ones, and the results showed that the diagnose accuracy of proposed method can averaged to 98.5%. Compared with traditional SVM based frameworks, the proposed diagnosis method dramatically improves the accuracy which is more suitable for railway turnout. Show more

Keywords: Railway turnouts, intelligent fault diagnosis, curve segmentation, SVM

DOI: 10.3233/JIFS-189688

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Liu, Xiaomin | Liu, Haiyan | Wan, Zheng | Wang, Lifei | Chen, Qiong

Article Type: Research Article

Abstract: Water resources is an important basic energy. The determination of weights is one of the important indexes in water resources evaluation system and reasonable allocation of weights is the key to quantitative evaluation. In order to establish a scientific evaluation index system of the influence of mining disturbance on water resources for purpose of a more reliable and effective evaluation result and realizing the protection of water resources system, a comprehensive evaluation system of water resources based on PSO-AHP model is proposed in the paper. Combined with the specific geological environment characteristics of mines, this paper establishes a four-level evaluation …index system after identifying the factors affecting water resources and ecological environment. By applying the particle swarm optimization (PSO) to the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, a PSO-AHP model and then a fitness function are constructed to solve and optimize the weight values in the evaluation index system, and the calculated weight values are checked by consistency checking method. The evaluation results suggest that the index system can accurately reflect the impact of mining on water resources and water ecological environment and etc., providing certain reference value for sewage resourcing and reducing the harmful effect on environment by sewage discharge. Show more

Keywords: Water resources, ecologically vulnerable area, particle swarm optimization, analytic hierarchy process, fuzzy comprehensive evaluation method

DOI: 10.3233/JIFS-189686

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Liu, Yanqi | Zhang, Li | Xu, Zhenghua | Liu, Xueyang

Article Type: Research Article

Abstract: This essay focus on the situation when the operator of the main control room can not handle the accident in time or make wrong judgment under accident condition in nuclear power plant, which may lead to the occurrence of major accidents or even more accidents concurrently. An intelligent fuzzy diagnosis model based on Grey Relational degree is constructed in this paper, by establishing accident-state correlation matrix and accident-state probability matrix, defining the vector of information weights for accident characteristic vector and monitoring result vector with linear transform, using Grey Relation to measure the relevance degree between monitoring result vector and …accident characteristic vector, Searching for suspected accidents approaching to real solutions in iterative recursive algorithms, realizing automatic fuzzy diagnosis of multiple accidents. The results of simulation experiments of LOCA accidents indicate that the model and algorithm can diagnose various common accidents accurately and rapidly in complex nuclear power systems, providing strategy for operator’s diagnosis decision. Show more

Keywords: Human reliability, accident conditions, diagnosis model, correlation matrix, approaching to

DOI: 10.3233/JIFS-189689

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Lifang, Guo | Yuwen, Cui | Yamin, Wu | Jiaqi, Ma

Article Type: Research Article

Abstract: The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive …shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance. Show more

Keywords: Artificial Intelligence (AI), relation embeddedness, shared mental model, innovation performance, structure equations, fuzzy rule

DOI: 10.3233/JIFS-189651

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Dai, Xuefeng | Wang, Jiazhi | Li, Dahui | Wang, Yanchun

Article Type: Research Article

Abstract: Multi-robot systems have many potential applications; however, the available results for coordination were based on qualitative information. Fuzzy logic reasoning has a feature of human being thinking, so a novel coordinated algorithm is proposed. The algorithm utilizes sharing sensing information of rooms and semantic robots to coordinating robots in a structured environment exploration. The approach divides all teammate robots into two classes according to robot exploration performance, and divides rooms into large, medium and small ones according to estimations of the individual areas. On the purpose of minimizing exploration time of the system, the reasoning coordination assigns large room to …good performance robot, and vice versa. A parameter update law is introduced for fuzzy membership functions. Finally, the results are validated by computer simulations for a structured environment. Show more

Keywords: Multi-robot systems, fuzzy reasoning, intelligent coordination, task assignments

DOI: 10.3233/JIFS-189682

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Leng, Xiaokun | Piao, Songhao | Chang, Lin | He, Zhicheng | Zhu, Zheng

Article Type: Research Article

Abstract: In recent years humanoid robots have been widely used in toy, performance, education and other service industries, but most biped robots walk slowly and have poor stability. The reason is that the driver parameters of the robot cannot properly match the walking gait algorithm, and the insufficient performance of the robot driver leads to the poor motion capability of the robot. In this paper, the optimization design process of biped robot parameters is studied and expounded, and its motion capability is improved by optimizing the driving parameters of the robot. Firstly, the contradiction between walking speed, stability and driver performance …of biped robot is analysed. The performance evaluation functions of the three are further established, and the optimal parameter design to a certain extent is realized based on the multi-objective optimization method. Finally, combining with the physical simulation engine, the design parameters are simulated and checked, and the robot design process is completed through the guidance of simulation results. Show more

Keywords: Humanoid robot, inverted pendulum, multi objective optimization, constraint

DOI: 10.3233/JIFS-189691

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Xu, Xinpeng | Li, Xun | Gao, Fuxia

Article Type: Research Article

Abstract: The “Belt and Road” initiative (BRI) enhances the cooperation between China and countries in Central and Eastern Europe (CEE), and expands the scale of China-invested enterprises in CEE countries continuously. But it also results in the increase in investment risks. Meanwhile, large differences between the international labor market and the domestic employment environment have led to the inadaptability of some enterprises’ overseas employment policies, triggering many labor disputes, and producing adverse effects on their overseas business expansion. To resolve the problems, this paper attempts to study the measures to prevent labor employment risks using fuzzy inference system for China-invested enterprises …in CEE. For this, it performs analysis for the scale, structure, labor quality, wages and benefits, and labor law system of labor employment in CEE countries, and proposes to prevent and resolve the labor employment risks by strengthening government labor cooperation, familiarizing with local labor law systems, and respecting local management culture etc. Show more

Keywords: Belt and road initiative, investment, Central and Eastern Europe, labor employment risk, prevention, fuzzy Inference system

DOI: 10.3233/JIFS-189655

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Chen, Yonggang | Shu, Yufeng | Li, Xiaomian | Xiong, Changwei | Cao, Shenyi | Wen, Xinyan | Xie, Zicong

Article Type: Research Article

Abstract: In the production process of lithium battery, the quality inspection requirements of lithium battery are very high. At present, most of the work is done manually. Aiming at the problem of large manual inspection workload and large error, the robot visual inspection technology is applied to the production of lithium battery. In recent years, with the rapid development and progress of science and technology, the rapid development of visual detection hardware and algorithms, making it possible to screen defective products through visual detection algorithms. This paper takes lithium battery as the research object, and studies its vision detection algorithm. As …a common commodity, the quality of lithium battery is the key for users to choose. With the increasing requirements of users for battery quality, how to produce high-quality battery is the key problem to be solved by manufacturers. However, at present, the defects of battery surface are mostly carried out manually. There are low efficiency and low detection rate in the process of manual detection. In this paper, the visual detection algorithm is studied to detect the defects such as pits, rust marks and broken skin on the surface of lithium battery, specifically to design the imaging experimental platform of lithium battery; use different lighting schemes to design different battery positioning and extraction algorithms; use Hough detection method to locate the battery surface, and design the battery defect algorithm for this, and compare the algorithm through experiments. Show more

Keywords: Robot visual inspection, surface defect, embedded, lithium battery

DOI: 10.3233/JIFS-189693

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Yu, Jiagen

Article Type: Research Article

Abstract: As we know, AI is deeply integrated with all walks of life. While upgrading traditional products and transforming traditional industries, a large number of new products, new industries and new formats have emerged in large numbers, and new industrial space has been further expanded. The potential for steady economic growth remains huge. However, the influence of merelygrowing capital asset and labor force dimension in terms of boosting economic progress has been waning globally. Considering the China’s data panel data outlying areas during 1978–2017 as the research sample, possible economic growing rate of Chinahas been calculated in detail according to the …labor-intensive structural time-varying elastic model. It shows a U-shaped development track during 2018–2027, with an average growth rate between 5.00%and 6.00%. There are also great variances in the probable economy growing rates in different regions in China. It shows that relying solely on traditional factors of production to drive potential economic growth, China has been unable to maintain the prosperity of stable development over the past few decades. Based on the experience of typical representative countries, this paper also puts forward some relevant countermeasures and suggestions including focusing on a new round of technological revolutions such as big data, new generation AI, 5 G, IOT, cloud computing, robotics, and blockchain to progress economical growing rate of China in the future. Show more

Keywords: Economic growth, potential output, AI, china, fuzzy rule, artificial neural network (ANN)

DOI: 10.3233/JIFS-189660

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Li, Tianxu | Gong, Mingde | Hu, Kongming | Zhao, Lijuan | Zhao, Baoqiang

Article Type: Research Article

Abstract: In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain …better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller. Show more

Keywords: 3-DOF, translational parallel robot, PMSM, fuzzy controller

DOI: 10.3233/JIFS-189683

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Chen, Shu | Xiang, Lei | Jin, Lianghai

Article Type: Research Article

Abstract: Public-Private Partnership (PPP) has been adopted extensively in public infrastructures in China. Numerous studies have explored development patterns for future PPP projects success based on either literature review or case studies. This paper aims to probe into the spatiotemporal dynamics of China’s PPP and clarify regional differentiation by frequency analysis, coefficient of variation and cluster analysis. The result shows that the implementation rate has a slight increase along with time series although PPP projects gradually return to rational development. The fuzzy set is utilized to handle with ambiguity in some linguistic risk allocation criteria to lower the fuzziness and bias …in knowledge expert which is qualitative that handles real time decision making. The municipal sector has been occupied the largest share of PPP projects while state-owned enterprises still dominate the biggest PPP marketed components. Local governments prefer viability gap subsidies although central government encourages user payment. Spatial difference coefficient is so high reflecting obvious regional differentiation of provincial PPP development. Recommendations are ultimately put forward to enhance China’s future PPP promotion, which will provide a valuable direction for government to make PPP customized policies. Show more

Keywords: Public-private partnership, development characteristics, regional differentiation, statistical analysis, China, fuzzy set

DOI: 10.3233/JIFS-189654

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2021

Authors: Tan, Chengfang | Cui, Lin | Wu, Xiaoyin

Article Type: Research Article

Abstract: With the rapid development of mobile terminal devices, mobile user activities can be carried out anytime and anywhere through various mobile terminals. The current research on mobile communication network is mainly focused on extracting useful and interesting information for mobile user from massive and disordered information. However, the sparsity of scoring data matrix results in low quality of recommendation algorithm. In order to overcome this drawback, the traditional collaborative filtering algorithm is improved. First, the user-interest matrix and item-feature matrix were obtained by analyzing mobile user behavior and item attributes. Fuzzy trust based model is utilized for collaborative filtering analysis …for mobile user preferences. Then, the similarity between different mobile users was calculated by weighted calculation. With this method, mobile user preference can be predicted effectively, making it possible to recommend rational resource and waste less time in extracting resources out of the massive information. Experimental results show that the proposed algorithm reduces the mean absolute error (MAE) and the impact of sparse scoring matrix data compared with the traditional collaborative filtering algorithm, and improves the recommendation effect to a certain extent. Show more

Keywords: Collaborative filtering, AI, mobile user, user interest, similarity calculation, fuzzy trust

DOI: 10.3233/JIFS-189649

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Ma, Yanran | Cai, Jianfeng | Wang, Yiqi | Farooq Sahibzada, Umar

Article Type: Research Article

Abstract: Based on information asymmetry, agency theory and resource-based view (RBV), this study investigates the impact of venture capital (VC) on venture firm innovation performance, ascertains the extent to which VC affects venture firm innovation performance and finds the mediating effect of management incentives. Constructing a sample of a novel panel dataset of firms listed on the SME Board of China, we examined a sample of 927 start-ups between 2008 and 2017, showing a notable negative relationship between VC and Patent, and a positive relationship between VC and total factor productivity (TFP), providing stable evidence that VC could not spur firm …patent directly, but facilitate the commercialization of innovation. Moreover, it shows that management equity incentives (MEI) and management cash incentives (MCI) playing significant positive mediating role between VC and TFP, while there is no mediating effect between VC and Patent. Findings of this study strengthen the experience of VC and suggest how practitioners of SMEs to enhance the commercialization of innovation, considerably extends our understanding of the impact of VC on venture firm innovation performance. Show more

Keywords: Venture capital (VC), management incentives (MI) , innovation, patent, total factor productivity (TFP)

DOI: 10.3233/JIFS-189634

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Li, Hao | Yang, Jie

Article Type: Research Article

Abstract: The traditional distributed WSNs fire remote monitoring system has single monitoring variables and incomplete fire detection data, which leads to large monitoring error and long delay. A distributed WSNs fire remote monitoring system based on fuzzy algorithm is designed. The hardware part of the system consists of distributed WSNs fire remote monitor, air temperature and humidity parameters acquisition, LCD unit and system power supply unit. The remote fire monitor is designed by using microprocessor C8051F060, and the centralized monitoring of information is realized by using distributed WSNs. Based on this, the fuzzy algorithm is introduced to standardize the fire detection …data, and the fuzzy similar matrix is established. According to the improved similarity coefficient, the matrix is solved, the fuzzy equivalent matrix is calculated, and the optimal threshold value of fuzzy monitoring is determined. The fuzzy language monitoring rules are set by using three fuzzy variables of current, temperature and smoke to complete the design of distributed WSNs fire remote monitoring system. The simulation results show that: compared with the traditional fire monitoring system, the system designed in this paper has higher throughput limit, shorter delay, and the accuracy rate of monitoring and alarm is higher than 95%. The experimental results show that the system has good generalization ability and is suitable for large-scale high-rise buildings and large-scale networks. Show more

Keywords: Fuzzy algorithm, distributed WSNs, remote fire monitoring, C8051F060, fuzzy equivalent matrix

DOI: 10.3233/JIFS-189692

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Lv, Zhongguo | Wang, Liping | Zhang, Wei

Article Type: Research Article

Abstract: At present, the development of China’s economy is inseparable from the promotion of innovation and entrepreneurship. However, there are huge differences in the level of entrepreneurship in different regions, so it is urgent to analyze the influencing factors of entrepreneurship. This paper uses panel data of 31 provinces in 2008–2017 to test the impact of urban unemployment rate, regional financial development level, market scale, agglomeration effect, entrepreneurial cost, scientific and technological innovation level, government support and other factors on entrepreneurial level. To solve the issue of factors influencing the enterprises, we utilised an effective way of fuzzy logic along with …decision estimation strategy. The empirical results show that regional financial development level, agglomeration effect, technological innovation ability, government support and so on have a positive role in promoting the level of entrepreneurship, while urban unemployment rate has no significant effect on the level of entrepreneurship. Based on the empirical conclusion, the paper puts forward some policy suggestions. Show more

Keywords: Entrepreneurship level, influencing factors, regional difference, panel data, fuzzy logic

DOI: 10.3233/JIFS-189658

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Lin, Chuan | Chen, Yinzhong | Liao, Jing | Liu, Dongxuan

Article Type: Research Article

Abstract: Stimulated by the “Belt and Road” Initiative (BRI), Chinese enterprises are participating in the markets of Central and Eastern European Countries (CEECs). With the Chinese local SOEs from 2007 to 2017 as samples, this paper empirically verified the impact of the introduction of foreign-invested shares (foreign shares for short) on the international competitiveness of these enterprises, as well as the mediation effect of the BRI strategy. In this paper, we propose neuro -fuzzy network based correlation analysis and empirical analysis found that there’s a significant positive correlation between the introduction of foreign shares and the international competitiveness of Chinese local …SOEs, that is, compared with local SOEs without foreign shares, those with foreign shares enjoy stronger international competitiveness when participating in the Central and Eastern European market; after the mediation effect of BRI has been taken into consideration, the introduction of foreign shares further strengthened the positive impact on the international competitiveness of these enterprises. This is because the BRI has significantly promoted the participation of Chinese SOEs in the Central and Eastern European market. Show more

Keywords: International competitiveness, Foreign-invested shares (foreign shares), “Belt and Road” initiative (BRI), Central and Eastern European Countries (CEECs), SOEs (SOEs)

DOI: 10.3233/JIFS-189657

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Wu, Min | Xu, Junhua | Zhu, Shanshan | Lei, Jinzhi | Gao, Jie

Article Type: Research Article

Abstract: Analysis of single-cell RNA sequencing (scRNA-seq) data is often complicate due to the sparsity and high data dimensionality. In this work, we proposed Fuzzy C-means based linear stable-exponential distribution (LSED) model for analyzing scRNA-seq count data of chronic myeloid leukemia (CML) patients. We propose pipelines stages for analysis in which noisy and inconsistent data form sequencing is removed during data preprocessing, this process data then form s the cluster of gene feature using fuzzy c-means (FCM) clustering, relevant features are extracted during feature extraction approach. These extracted features are then fed into LSED model in order to difference feature data …of gene expression. Finally we evaluate the performance for proposed analysis model based on parameter estimation, distribution comparison and parameter analysis. From the result analysis it was observed that proposed analysis model parameter reflect change in condition of patient more effectively as well as this model fits difference data of gene expression in more better way in comparison to Cauchy and stable distribution. Additional, the results of Gene-set enrichment analysis specify the affinity of proposed model can replicate the distinct enhancement of BCR-ABL+ stem cell as well as BCR-ABL- stem cells. Significantly, Proposed FCM based LSED analysis model studies CML from the perspective of statistical models, which present a new sight for CML scientific research. Show more

Keywords: Chronic Myeloid Leukemia (CML), Alignment, Fuzzy C-Means (FCM), Linear Stable-Exponential Distribution Model (LSED model), stable distribution, feature extraction, gene expression, cauchy distribution

DOI: 10.3233/JIFS-189659

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Gang, Song | Xiaoming, Wang | Junfeng, Wu | Shufang, Li | Zhuowen, Liu | Wang, Xiaodong

Article Type: Research Article

Abstract: In view of the production quality management of filter rods in the manufacturing and execution process of cigarette enterprises, this paper analyzes the necessity of implementing the manufacturing execution system (MES) in the production process of filter rods. In this paper, the filter rod quality system of cigarette enterprise based on MES is fully studied, and the constructive information management system demand analysis, cigarette quality control process, system function module design, implementation and test effect are given. This paper utilizes the Fuzzy analytic hierarchy process to find the optimal system for processing the manufacturing of cigarette. The implementation of MSE …based filter rod quality information management system for a cigarette enterprise ensures the quality control in the cigarette production process. Through visualization, real-time and dynamic way, the information management of cigarette production is completed, which greatly improves the quality of cigarette enterprise manufacturing process. Show more

Keywords: AI, cigarette, filter rod, quality management, information management system, Fuzzy

DOI: 10.3233/JIFS-189648

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Zheng, Leina | Wang, Junwei | Liu, Meiling | Liu, Jun | Pan, Tiejun | Xu, Haojie

Article Type: Research Article

Abstract: This paper studies intuitionistic fuzzy (IF) decision making problems using an integrated approach. Firstly, an IF induced generalized ordered weighted averaging distance (IFIGOWAD) operator is introduced, that covers numerous IF aggregations distance operators. Then, two more generalized operators named IF quasi induced OWAD (Quasi-IFIOWAD) and IF induced generalized hybrid average distance (IFIGHAD) operator are presented. Furthermore, a new method using above operators is introduced to IF decision making problem and online trade systems. Finally, two real cases are present to show the effect of the method.

Keywords: Hybrid average distance, distance measure, IOWA operator, trade systems

DOI: 10.3233/JIFS-189685

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2021

Authors: Jiang, Sai

Article Type: Research Article

Abstract: With the rapid development of artificial intelligence and big data technology, the traditional audit method has been constantly impacted by big data. In the era of big data, enterprises actively explore and build a financial sharing service model, and through this model, build audit methods based on big data. In this paper, based on the financial sharing service model, we elaborate the preprocessing process of big data collection, clarity and storage, and build the simulation process framework of big data audit under the service model. Evaluation model is developed based on fuzzy analytic hierarchy process (AHP) and methodology for order …estimation by similarity of solution. Finally, on the basis of the implementation process framework, the specific content of each link of big data audit is briefly given. Under the financial sharing service mode, it provides theoretical guidance and practical significance for the implementation of big data audit Show more

Keywords: Financial sharing services, artificial intelligence (AI), big data audit, data processing, process framework, fuzzy analytic hierarchy

DOI: 10.3233/JIFS-189646

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Wang, Qian | Zhang, Bo

Article Type: Research Article

Abstract: Hotel industry, as the pillar industry of the tertiary industry, is developing at a rapid pace under the background of rapid economic growth and strong support for the tourism industry. At the same time, it also faces fierce competition at home and abroad. In the information age, more and more hotels choose informationalized management, in order to reflect the competitive advantage of the enterprise with better services, higher efficiency and lower costs. The current hotel management system has been widely used in all aspects of hotel management, integrating reception, backstage financial processing and material procurement functions in one, which basically …meets the needs of the daily management of the hotel. With the advancement of the hotel information process, hotel business data also shows explosive growth. However, these data have not been effectively developed and used. This research proposes Fuzzy based Analytic Hierarchical Process (FAHP), which is utilized for considering user perception to access the making of decision. The business data processing of the management of hotels is limited to simple collection, storage, and statistics. The information obtained is superficial and regular, which cannot meet the current “customer-centered” marketing strategy of the hotel. This topic is based on the conventional hotel management system, using data mining technology to extract useful information from the existing hotel business data to establish customer segmentation model and support the decision layer to analyze the data from multi-angle and multi-level around the decision-making topic, so as to truly realize the “customer-centered” concept, improve hotel service level and improve the core competitiveness of enterprises. Show more

Keywords: Data mining, CRM, hotel management system, customer, AI, fuzzy based analytic hierarchical process (FAHP)

DOI: 10.3233/JIFS-189650

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Tao, Zou | Si Jun, Bai | Xi Bai, Rong

Article Type: Research Article

Abstract: The rapid development of cloud computing, big data, AI, BI and other information technologies has accelerated the process of enterprise modernization and informatization. The combination of computer technology and management science promoted the formation of modern enterprise management technology. Especially in today’s era of big data, in the face of massive data, how to quickly and accurately find out the required information, analyze the memory relation of data, find out the inherent business law hidden under massive information, and provide an important reference for enterprises to make business decisions and seek for market opportunities. A methodology that exhibits fuzzy TOPSIS …model has been incorporated in this study. Fuzzy weights and fuzzy judgment about the management systems have employed to estimate the scores of evaluation. In order to solve this problem, this paper integrates independent ERP and BI, and studies and develops a marketing management system by using advanced technologies such as data warehouse, online analysis and data mining; The system extracts useful data from ERP data sources, and analyzes the internal rules and statistical results that can be used to guide the enterprise’s actions, so as to effectively improve the enterprise’s competitiveness. Show more

Keywords: ERP, artificial intelligence (AI), data mining, marketing management, computer technology, fuzzy TOPSIS, fuzzy weights, fuzzy judgment

DOI: 10.3233/JIFS-189647

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Chen, Hongxia

Article Type: Correction

DOI: 10.3233/JIFS-210001

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-1, 2021

Authors: Chen, Yao-Mei | Chen, Yenming J. | Tsai, Yun-Kai | Ho, Wen-Hsien | Tsai, Jinn-Tsong

Article Type: Research Article

Abstract: A multi-layer convolutional neural network (MCNN) with hyperparameter optimization (HyperMCNN) is proposed for classifying human electrocardiograms (ECGs). For performance tests of the HyperMCNN, ECG recordings for patients with cardiac arrhythmia (ARR), congestive heart failure (CHF), and normal sinus rhythm (NSR) were obtained from three PhysioNet databases: MIT-BIH Arrhythmia Database, BIDMC Congestive Heart Failure Database, and MIT-BIH Normal Sinus Rhythm Database, respectively. The MCNN hyperparameters in convolutional layers included number of filters, filter size, padding, and filter stride. The hyperparameters in max-pooling layers were pooling size and pooling stride. Gradient method was also a hyperparameter used to train the MCNN model. …Uniform experimental design approach was used to optimize the hyperparameter combination for the MCNN. In performance tests, the resulting 16-layer CNN with an appropriate hyperparameter combination (16-layer HyperMCNN) was used to distinguish among ARR, CHF, and NSR. The experimental results showed that the average correct rate and standard deviation obtained by the 16-layer HyperMCNN were superior to those obtained by a 16-layer CNN with a hyperparameter combination given by Matlab examples. Furthermore, in terms of performance in distinguishing among ARR, CHF, and NSR, the 16-layer HyperMCNN was superior to the 25-layer AlexNet, which was the neural network that had the best image identification performance in the ImageNet Large Scale Visual Recognition Challenge in 2012. Show more

Keywords: Convolutional neural network, hyperparameter, human electrocardiogram, PhysioNet, uniform experimental design approach

DOI: 10.3233/JIFS-189610

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Wang, Xiaodong | Wang, Xiaoming | Wu, Junfeng | Zheng, Kai | Pang, Yanhong | Gang, Song

Article Type: Research Article

Abstract: For the weak part of the quality traceability ability of cigarette logistics and products, this paper proposes a quality traceability method which integrates PDCA quality cycle with information strategy. This method firstly establishes the quality cycle process of cigarette logistics through PDCA quality cycle process, and then constructs IS-PDCA process based on information strategy (IS) to analyze the quality traceability process of cigarette products. The key links are determined according to the traceability process of cigarette logistics, and the traceability resource scheduling function is determined through the product. Then, according to the determined scheduling function and RFID technology, the optimal …allocation strategy is constructed to complete the feature extraction and classification identification of cigarette quality labels. For assessing the quality of cigarette evaluation, classification based on fuzzy is proposed and artificial neural network are utilized for calculating the grade of cigarette. Finally, a process of cigarette quality traceability combining PDCA quality cycle and information strategy is formed, and the quality traceability results are constructed by means of QR code technology, so as to realize the process system of cigarette quality traceability and improve the quality control ability of cigarettes. The simulation results show that the cigarette quality traceability method constructed in this paper can obtain the cigarette quality control with good adaptive performance, and the control process shows a strong ability, which improves the feasibility and effectiveness of the cigarette quality traceability. Show more

Keywords: Information strategy, Artificial Intelligence (AI), PDCA quality cycle, cigarette logistics, quality traceability, fuzzy, artificial neural network

DOI: 10.3233/JIFS-189644

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021