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

Authors: Zhang, Shibo | Yu, Yuanlan | Zhang, Boyuan | Sha, Yun

Article Type: Research Article

Abstract: With the rapid growth of online reviews, the rapid and effective access to summary information is a hot topic of research. In this paper, an abstract sentence extraction model based on hierarchical attention network is proposed. The model has an encoder-decoder structure, which introduces a two-layer attention mechanism. The sentence encoder uses attention mechanism to obtain the vectorized representation of the sentence by inputting the aspect words. The review document encoder uses the attention mechanism to realize the context association of the sentences before and after. When decoding, a sentence output component composed of the GRU network makes the choice …whether the sentence should be selected as the candidate sentence. Greedy algorithm is used to eliminate the redundantly result, and then obtains the final summary based on the sentence sorting method. The experiment results show that the proposed model is better than the benchmark model. Show more

Keywords: Document summarization, attention network, review analysis

DOI: 10.3233/JIFS-179863

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Du, Wen Sheng

Article Type: Research Article

Abstract: The Choquet integral is proven quite reasonable as an integral form with respect to monotone measures, where the credibility measure is a specific case with self-duality. The main objective of this paper is to propose the Choquet integral of measurable functions on the credibility space, which bridges the gap between the Choquet integral and credibility theory. First, the Choquet integrals for nonnegative functions with respect to the credibility measure are introduced, and their properties are investigated such as the monotonicity and translatability. Then, the symmetric Choquet integrals and translatable Choquet integrals of any measurable functions are developed through the use …of the Choquet integrals of nonnegative functions. Finally, Choquet integrals on finite sets based on the credibility measure are presented to simplify the calculation procedures. Show more

Keywords: Choquet integral, credibility measure, symmetric choquet integral, translatable choquet integral

DOI: 10.3233/JIFS-190765

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Ye, Zheng | Shen, Qi Tai Song

Article Type: Research Article

Abstract: The entrepreneurship of intelligent manufacturing enterprises in manufacturing clusters have significant influences on China’s economic growth in the process of industry 4.0. This paper reveals the entrepreneurship of intelligent manufacturing enterprises by the analysis of network theory. By the questionnaire of 470 effective sample enterprises in the 6 manufacturing industrial clusters selected, Structural Equation Modeling and the AMOS software are used to verify the theoretical hypotheses. The findings are as follows: first, entrepreneurial competence has a positive effect on corporate entrepreneurship; second, network relation, betweenness centrality and network scale have positive effect on entrepreneurial competence; third, network relationship strength and …network density have different effects on entrepreneurial competence. Based on the results of empirical analysis, this paper puts forward some policy suggestions to promote enterprise entrepreneurship in industrial clusters. Show more

Keywords: Network characteristics, corporate entrepreneurship, entrepreneurial competence, SMEs, structural equation modeling

DOI: 10.3233/JIFS-179850

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Cao, Hui

Article Type: Research Article

Abstract: The selection of big data attributes plays a positive role in the development of the network. At present, the attribute selection for big data is completed by detecting the attribute of data, which can not guarantee the accuracy of the selection. In this paper, a big data attribute selection method based on support vector machine (SVM) is proposed for distributed network fault diagnosis database. The method is used to mine big data in the distributed network fault diagnosis database, and calculate its attribute weights according to which complete attribute classification, so as to complete the selection if big data attributes. …Experiments show that the proposed method improves the efficiency of big data attribute selection, and has certain practical value. Show more

Keywords: Distributed network, fault diagnosis database, big data attribute selection, support vector machine, fault diagnosis database

DOI: 10.3233/JIFS-179859

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Liu, Meng Ke | Xin, Xiao Long

Article Type: Research Article

Abstract: In this paper, we study the generating formula of filters in pseudo equality algebras, also we introduce prelinear pseudo equality algebras and divisible pseudo equality algebras, and then we investigate some characterizations of them. We focus on algebraic structures of the set F  (X ) of all filters in pseudo equality algebras and obtain that F  (X ) can form a Heyting algebra. Moreover, we give the notions of some types of filters ((positive) implicative filters, fantastic filters) in pseudo equality algebras and investigate their properties. Finally, we discuss the relations among these filters.

Keywords: Pseudo equality algebra, prelinear pseudo equality algebra, divisible pseudo equality algebra, (positive) implicative filter, fantastic filter, strong normal filter

DOI: 10.3233/JIFS-191512

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Patil, Varsha H. | Bhavsar, Swati A. | Patil, Aboli H.

Article Type: Research Article

Abstract: Digital Bibliography and Library Project dataset is a collection of bibliographic records of computer science publications of various authors and co-authors. It contains approximately 1.5 million bibliographic records. An algorithm for an author’s information retrieval is developed to retrieve details of specific author publications and correlation among authors. Further performance of an author is measured with parameters like consistency, contribution factor, stability, cooperativeness, and solidity. The work presented is tested on the DBLP dataset. Experimental results clearly support the claim that it works efficiently for retrieving specific author-publication records and its analysis with respect to suggested parameters.

Keywords: Author, consistency, contribution factor, cooperativeness, DBLP, graph, publication stability, solidity

DOI: 10.3233/JIFS-191289

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Zhang, Hui | Ke, Chenghu | Zhi, Na | Cheng, Yuan

Article Type: Research Article

Abstract: Recent studies show that power electronic system performance can be improved by combining with communication technologies, however, time-delay impact that is introduced by network could cause performance degradation. As for networked control inverters, such delay results in an increase in the THD of the output. To solve the time-delay impact, in this paper, we propose a wireless network control inverter architecture. It transmits the information of AC microgrid by Zigbee and a compound control method (internal model control and quasi-PR control) of networked control inverter is proposed. The architecture enables remote control of the inverter and wireless parallel connection, the …method can either reduce the THD increase and the circumfluence of wireless parallel inverters. The proposed method is concretely applied in networked control system of quasi-PR controlled AC microgrid in grid mode. The simulation and experimental results are presented to prove the proposed control on several operating condition, which provide a competive performance. Show more

Keywords: Network-based control, transmission delay, compound control method, AC microgrid

DOI: 10.3233/JIFS-179857

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2020

Authors: Wang, Jingbo

Article Type: Research Article

Abstract: Aiming at the problems of large error and poor robustness of traditional image classification methods, a three-dimensional martial arts image classification algorithm based on symmetry theory is proposed. According to the preprocessed 3D martial arts image, the classification algorithm based on symmetric neural network is used to realize the classification of 3D martial arts image. The experimental results show that the minimum error rate of this algorithm is 6.1%, which is far lower than the traditional algorithm, it is shows that the improved algorithm has higher definition, better robustness, and the test results of different topological nodes on the test …solution show that the average error rate of the algorithm is lower. Compared with the same type of algorithm, the application value of the proposed algorithm is significant. Show more

Keywords: Denoising, sharpening, SDBN network, mean filtering, gray uniformity

DOI: 10.3233/JIFS-179861

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Yan, Yan | Jin, Zhang | Qiuyu, Tang

Article Type: Research Article

Abstract: This paper studies the flight path optimization problem of air cargo companies in aviation line alliance. There are two limitations in this paper. One is to limit of the number and location of airbases and capacity in the air network. The other is to limit of flight time and airspace capacity of full cargo aircraft in actual operation. Considering the influence of alliance on operation, the selection probability of air alliance is introduced. It is assuming that all cargo aircraft is one type, the unit transportation cost of every aviation line is the same as each other, the queuing problem …of aircraft landing is not considered, and the network transportation demand of itself must be completed by an airline. It proposes a directed aircraft fleet routing problem optimization model (SMDDDAAAFRPTW) with multi-airbase stochastic and time constraints to minimize total operating cost and flight distance. Using the multi-objective optimization algorithm NSGA-II by most scholars, and improving the initial solution generation step, introducing Genetic engineering into cross-mutation to solve the optimal number and location of air bases and fleet routing of multiple aircraft. Comparing with the weighted method and ant colony algorithm, it shows that the improved NSGA-II algorithm is effective and has better computational efficiency. The results show that the more segments are selected for outsourcing, the lowest cost of network and the lowest carbon emission. This kind of decision-making behavior is only suitable for the initial operation phase of the enterprise. Show more

Keywords: Aircraft fleet route optimization, multi-airbases stochastic, time and capacity constraints, improved NSGA-II algorithm

DOI: 10.3233/JIFS-192041

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-20, 2020

Authors: Ameen, Mustafa | Tolba, A. S. | AlRahmawy, Mohammed | AbouEleneen, Amal

Article Type: Research Article

Abstract: Automated visual inspection is becoming an important field of computer vision in many industries. The real-time inspection of flat surface products is a task full of challenges in industrial aspects that requires fast and accurate algorithms for detection and localisation of defects. Structural, statistical and filter-based approaches, such as Gabor Filter Banks, Log-Gabor filter and Wavelets, have high computational complexity. This paper introduces a fast and accurate model for inspection and localization of industrial flat surface products: Neighborhood Preserving Perceptual Fidelity Aware Mean Squared Error (NP-PAMSE). The Extreme Learning Machine (ELM) is used for classification. ELM is found to …be the perfect classifier for detecting defects. The proposed model resulted in defect detection accuracy of 99.86%, with 98.16% sensitivity, and 99.90% specificity. These results show that the proposed model outperforms many existing defect detection approaches. The discriminant power displays the efficiency of ELM in differentiation between normal and abnormal surfaces. Show more

Keywords: Automated visual inspection (AVI), perceptual fidelity aware mean squared error (PAMSE), extreme learning machine (ELM)

DOI: 10.3233/JIFS-192071

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2020

Authors: Yang, Fen | Guo, Guangsheng

Article Type: Research Article

Abstract: The National High-tech Zone is an important driving force for the transformation and upgrading of the industrial structure and it is also an important guarantee for the realization of an innovation-driven China. Thirteen indexes are selected from three aspects of innovation investment, innovation performance and innovation support to construct a comprehensive evaluation index system of innovation capability of national high-tech zones in the northern coastal comprehensive economic zone. On this basis, the entropy weight-fuzzy comprehensive evaluation model is used to evaluate the innovation and development capability of 19 national high-tech zones from 2015 to 2017 comprehensively. The results show that …the comprehensive index of innovation capability of national high-tech zones shows an upward trend, but the overall innovation capability is relatively low; The contribution of each subsystem to innovation capability is different, the innovation environment is the largest, the innovation performance is the second, and the innovation investment is the smallest; According to the level of innovation ability, 19 high-tech zones are divided into star type, moderate type and backward type, with moderate type high-tech zones accounting for the largest proportion. Show more

Keywords: National high-tech zone, northern coastal comprehensive economic zone, fuzzy comprehensive evaluation, innovation ability

DOI: 10.3233/JIFS-179855

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Li, Kaiyong | Ma, Ying

Article Type: Research Article

Abstract: Most of the detail structure characteristic information of the texture image is lost due to the space variation during the automatic detection, which reduces the precision of auto detection and precise location. In order to solve the problem, a method based on the ambiguity resolution algorithm is proposed in this article. The background texture information was eliminated via the Gaussian filter and threshold value method to acquire initial rough edge of the defect area. In the stage of precision location, the modified Chan-Vcsc active contour model based on the fuzzy energy was introduced and the precision location for the defect …area was achieved via level set method using the rough edge as the initial curve of the model evolution. Experimental results show that the proposed method can achieve accurate and automatic localization of different types of defect areas, and has high computational efficiency. When the number of samples is 600, the positioning time is only 19 s. When the peak signal-to-noise ratio reaches 100 dB, the absolute error of this method is only 0.01%, the relative error is 0.04%, and the positioning accuracy is as high as 99.58%. Show more

Keywords: Ambiguity resolution algorithm, texture image, defect, automatic detection, precise location

DOI: 10.3233/JIFS-179843

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Xu, Ling

Article Type: Research Article

Abstract: In order to improve the evaluation score and accuracy of ceramic 3D printing sample data, a fuzzy algorithm based evaluation method of ceramic 3D printing sample data is proposed. The data of ceramic 3D printing samples were collected and preprocessed by fuzzy algorithm. The specific content of the evaluation index of 3D printing sample data is determined, and the evaluation system of 3D printing sample data is established. Fuzzy algorithm is used to determine the weight of data quality evaluation index of ceramic 3D printing samples. According to the steps of setting up the weight matrix of the evaluation index …of 3D printed ceramic sample data, the weight matrix of the evaluation index is established. Because there are many data sources of ceramic 3D printing samples, there may be data conflicting with the description of the same object. Under the background of fuzzy algorithm, the effective dimension of ceramic 3D printing sample data is established. According to the membership function of each evaluation index, the fuzzy set of 3D printing sample data of ceramics is established. Finally, the data evaluation process is designed to realize the data evaluation of ceramic 3D printing samples based on fuzzy algorithm. The experimental results show that the evaluation accuracy of the method is higher than 96%, and the scores of users and experts on the interior design scheme are above 80 points. Show more

Keywords: Fuzzy algorithm, ceramic material, 3D printing, sample data, data evaluation

DOI: 10.3233/JIFS-179846

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Uzair Khan, Muhammad | Ali, Abbas | Rehman, Noor | Abdullah, Saleem

Article Type: Research Article

Abstract: This study proposes the multi attribute group decision making in the presence of incomplete multi attribute and incomplete multi decision while making a decision with preferences in an incomplete information system. We then consider resolving the problem in an incomplete information system by using two different approximation strategies, that is seeking the common reserving difference and common rejecting difference, four kinds of soft dominance based multi-granulation rough sets namely soft dominance based optimestic multi-granulation rough sets and soft dominance based pessimistic multi-granulation rough sets are presented. Another worth mentioning contibution of this paper is to disclose the ideas of two …kinds of approximate precision, rough degree, approximate quality, maximal and minimal rough member ships and their mutual relationships. Finally the validity of these concepts are proved by constructing two algorithms and applying them in solving incomplete multi-agent conflict analysis problem. Show more

Keywords: Rough set, soft set, preference relation, multi-granulation rough sets

DOI: 10.3233/JIFS-190684

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-25, 2020

Authors: Wang, Yu

Article Type: Research Article

Abstract: In order to improve the ability of cloud computing data scheduling, this paper proposes a new method for multi-task, multi-level cloud computing data aggregation based on fuzzy association feature extraction. Heterogeneous directed graph analysis method is used to design cloud computing data. The semantic correlation fusion method is used to implement cloud computing data feature extraction and adaptive scheduling. The fuzzy clustering is used to process the characteristic amount of cloud computing data, and the optimal aggregation of cloud computing data is realized. Simulation results show that the method has a higher recall rate for multi-task and multi-level cloud data …aggregation, and the highest recall rate can reach 1, which improves the accuracy of resource aggregation. Show more

Keywords: Cloud computing, fuzzy algorithm, data, stable convergence, clustering

DOI: 10.3233/JIFS-179862

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Lin, Jing

Article Type: Research Article

Abstract: In order to improve the function of driving of wheeled soccer robot and solve the time delay of the pivot steering motion of traditional robot, an artificial intelligent control algorithm for steering motion of wheeled soccer robot was proposed. Combined with the calculation of double eccentric steering motion control, the driving characteristic of wheeled soccer robot steering eccentric mass block was analyzed. Then, D’Alembert’s principle was used to analyze the stress of robot and design the kinematics model of spherical shell steering of spherical mobile robot. Moreover, the stick-slip principle was used to control the steering of wheeled soccer robot. …Thus, the steering motion control of robot was achieved. Experiment results prove that the steering speed of wheeled soccer robot is 30% higher than that of traditional robot, which effectively solves the problem about the time delay of traditional robot steering motion. Show more

Keywords: Wheeled soccer robot, steering motion, D’Alembert’s principle, double eccentric mass

DOI: 10.3233/JIFS-179860

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: He, Zefang | Guo, Zixue | Lin, Peng | Song, Fengxuan

Article Type: Research Article

Abstract: With respect to multi-attribute decision making problem, in which attribute values are expressed in interval-valued intuitionistic fuzzy numbers, a decision making method based on fuzzy entropy and TOPSIS is presented. In this paper, the score value function and precision function of interval-valued intuitionistic fuzzy numbers are defined, and the attribute weight determination method based on improved fuzzy entropy is given. Then, by using the ranking method of interval-valued intuitionistic fuzzy numbers, the positive and negative ideal solutions of interval-valued intuitionistic fuzzy multiple attribute decision making problems are obtained. On this basis, an interval-valued intuitionistic fuzzy multi-attribute decision making method based …on TOPSIS is proposed. Finally, the method is applied to the evaluation of local government public finance expenditure performance and its effectiveness is illustrated by a numerical example. Show more

Keywords: Interval-valued intuitionistic fuzzy sets, multi-attribute decision making, TOPSIS method, improved fuzzy entropy

DOI: 10.3233/JIFS-179847

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2020

Authors: Wei, Pengcheng | Shi, Chengxiang | He, Fangcheng

Article Type: Research Article

Abstract: When the malicious code is detected by the current method, the features of the malicious code cannot be classified in detail. A static detection method of malicious code based on behavior information gain is proposed. The method uses the feature selection method of behavior information gain to get the average mutual information between different code types, and gives different types of feature libraries. On this basis, the character sets are fused and the sample characteristics of the malicious code are extracted. The dispersion degree of the sequence distribution of malicious code samples is measured, the distance vector of the plurality …of eigenvectors is obtained, and the weighted matching of the features is performed. The malicious code is detected statically based on the matching result. The results demonstrated that the proposed method tends to be more accurate and provides a scientific basis for ensuring the security and stability of the Android operating system. Show more

Keywords: Behavior information gain, malicious code, static detection, feature selection method, dispersion degree

DOI: 10.3233/JIFS-179838

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Singla, Nikita | Sadawarti, Harsh | Singla, Jimmy | Kaur, Balwinder

Article Type: Research Article

Abstract: In this research work, a new multilayer fuzzy inference system is proposed for diagnosis of renal cancer. This proposed automated diagnosis of renal cancer using multilayer Mamdani fuzzy inference system can help to classify the different stages of renal cancer such as no cancer, stage 1, stage 2, stage 3 or stage 4 cancer. This expert system has four input variables at layer 1 and similarly seven input variables at layer 2. At layer 1, the input variables are smoking, dialysis, occupational exposure and genetic or hereditary that recognize the output conditions of renal or kidney to be normal or …to have renal cancer. The further input variables for layer 2 are haematuria (blood in urine), red blood cell count, flank pain, tumor size, Von Hippel-Lindau gene, high blood pressure and trichloroethylene exposure that reveal the output condition of kidney such as stage 1 cancer, stage 2 cancer, stage 3 cancer or stage 4 cancer. The novelty in this research work is development of multilayer fuzzy inference system that deals with fuzzy values, uncertain and ambiguous data to detect the stage of renal cancer by using two layers. This paper presents an analysis of results accurately using the proposed expert system to model the renal cancer process with medical expert advice. The confidence indicator for this proposed expert system is 95%. Show more

Keywords: Artificial intelligence, fuzzy inference system, renal cancer

DOI: 10.3233/JIFS-191785

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Song, Yu

Article Type: Research Article

Abstract: Aiming at the problem that the current algorithm cannot effectively complete the optimal energy allocation in wireless sensor networks, a method of optimal energy allocation in wireless sensor networks based on a symmetric algorithm is proposed. The structural characteristics of wireless sensor networks are analyzed, and the constraints of sensor nodes are completed according to the structural characteristics of wireless sensor network nodes. The application scenarios of wireless sensor networks are described, the energy distribution of the network is analyzed, and an optimal energy allocation model is established. The energy consumption per unit time of wireless sensor networks is calculated …by the energy consumption of data collection and reception. Calculate the optimal routing hops and minimum transmit power in the model. Combined with the number of network keys, the optimal energy distribution of the wireless sensor network can be completed. Experimental results show that the algorithm is effective by testing the time and energy allocation efficiency of network optimization, and it also guarantees the security of wireless sensor network communication. Show more

Keywords: Symmetric algorithm, wireless sensor network, energy optimization, configuration

DOI: 10.3233/JIFS-179841

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Ou, Yufeng

Article Type: Research Article

Abstract: Aiming at the problems of poor tracking effect and low precision of traditional methods, a symmetric algorithm is introduced to dynamically track moving objects in multiple frames. Symmetric encryption algorithm is used to hide the reversible information of the image, and the correlation between adjacent pixels of the encrypted image is increased through high-bit flip prediction. Generate sparse pixel classification matrix to improve compression efficiency and reduce the occupation of effective bit-plane space. Embed secret information in the most significant bit of the encrypted pixel based on the hidden key to generate an encrypted-portable image. The receiving end can generate …two kinds of decrypted images, one is consistent with the original image, and the other contains the secret information. Has hidden key to extract secret information from ciphertext image and plaintext image separately. Under the hiding of target image information, a window adaptive adjustment algorithm is introduced to track the target, and a comprehensive predictor is designed to predict and track the target when the target is temporarily blocked. The experimental results show that the target tracking accuracy of this method can reach 99% and the prediction accuracy can reach 100%. The proposed method has strong security performance and high tracking prediction accuracy, and is a feasible target dynamic tracking method. Show more

Keywords: Symmetry algorithm, multi-frame, moving target, tracking

DOI: 10.3233/JIFS-179839

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Wang, Lei | Wu, Mengwei | Xu, Xueqi | Fan, Wenqi

Article Type: Research Article

Abstract: At present, manufacturing industry is obviously experiencing the rapid development of intelligent manufacturing on a global scale. To meet the needs in the new era, China has continuously been introducing new measures to develop smart manufacturing, and remarkable results have been achieved for the development of smart manufacturing. This paper first summarizes the diffusion model for applying intelligent manufacturing in manufacturing enterprises in Hangzhou. Secondly, the improved SIR model and Matlab software are used to analyze the impact of industrial policy accuracy on the proliferation of intelligent manufacturing applications. Finally based on the simulation results, it is found that the …policies play an important role in the diffusion of intelligent manufacturing applications. The good top-down design of the government is the prerequisite for the sound promotion of intelligent manufacturing technology application, but the accuracy of policies needs to be further strengthened to better promote the proliferation of smart manufacturing applications. Show more

Keywords: Intelligent manufacturing, industrial policies, technology diffusion

DOI: 10.3233/JIFS-179842

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Liu, Xiaodong | Xie, Jinlu

Article Type: Research Article

Abstract: In the process of visual sorting, in order to solve the problem that the irregular contour target position is difficult to locate quickly and accurately, and it is difficult to realize the self-defined grab point, a method of target pose detection based on the contour center of gravity edge distance vector and local polar coordinates is proposed. Firstly, the target contour is determined by adaptive edge detection and the comparison of contour moments, and the larger distance direction from the contour center of gravity to the smallest outer rectangle is defined as the direction from the contour center of gravity …to the edge distance vector. The deflection angle of the target is determined by the vector direction and the position of the outer rectangle to detect the deflection angle of the irregular workpiece. On this basis, judge whether the designated point is the relative center of gravity in the local polar coordinate system, and realize the intelligent positioning of the set point on the target by detecting the coordinates of the designated point in the center of gravity positioning. The experimental results show that the method is suitable for complex contour targets, and the positioning results are accurate and the positioning time is short, so it has high engineering application value. Show more

Keywords: Edge distance vector, declination detection, attitude detection, relative center, contour recognition, fixed point positioning

DOI: 10.3233/JIFS-179840

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Su, Shuhua | Yang, Shuqun | Li, Qi

Article Type: Research Article

Abstract:  For a fuzzy subset system Z L , the concepts of a Δ Γ L -completion and a Z Γ L -completion of a given fuzzy poset (X , e ) are introduced and their universal properties are investigated. In this paper, we prove that: (1) the Δ Γ L -completion Δ Γ L  (X ) is a join-completion with the universal property; (2) the Z Γ L -completion Z Γ L  (X ) is the smallest Z L -complete fuzzy subposet of Δ Γ L … (X ) in the case that Z L is fuzzy subset-hereditary. The results show that the Dedekind-MacNeille completion is a special case of the Z Γ L -completion. Show more

Keywords: Fuzzy subset system, Fuzzy subset-hereditary, ΔΓL-completion, ΔΓL-continuous mapping, ΔΓL-continuously ⊔-existing, ZΓL-completion

DOI: 10.3233/JIFS-200121

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Qiao, Peixin | Hou, Ying

Article Type: Research Article

Abstract: When studying the application of discrete fruit fly algorithm in enhancement of wireless sensor node coverage, the wireless sensor node coverage model is designed according to the node measurement model, and the discrete fruit fly algorithm is used to evaluate each initial population in the wireless sensor node coverage to determine the elite individuals. The number of retentions of the elite individual is calculated in the essence library, and the final result is output when the number of retentions of the elite individual is greater than the minimum number of retentions of the elite individual. Conversely, inter-population immigrations are implemented …to form new fruit fly populations. The classification olfactory random search method based on adaptive compensation is adopted in the population. The fruit fly individuals are evaluated by the taste judgment function, and they are visually located to re-determine the optimal individuals of each population. The above steps are repeated until the number of retentions of elite individuals is greater than the minimum number of retentions of elite individuals. Then the optimal solution of the wireless sensor node coverage model is output, and the optimization scheme of the wireless sensor node coverage is designed according to the optimal solution. The experimental analysis shows that when the number of iterations is 50, the maximum node coverage and node fitness are 99.81% and 0.99 respectively. When the number of nodes is 20, the time of the enhanced node is the shortest, 9.8 ms. That is, the method can significantly enhance the node coverage effect. Show more

Keywords: Discrete fruit fly algorithm, wireless sensor, node coverage, enhancement, adaptive compensation, classification olfactory

DOI: 10.3233/JIFS-179835

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Chen, Zi-yu | Peng, Juan-juan | Wang, Xiao-kang | Zhang, Hong-Yu | Wang, Jian-qiang

Article Type: Research Article

Abstract: Solar energy, as a major and least-cost renewable resource, has attracted extensive attention of experts and scholars. However, the establishment of the power station is time-consuming and costly. And once selected, it is difficult to change. So it is crucial to choose the appropriate site of power station. This paper combines data analysis with multi-criteria group decision-making to solve this problem. First of all, K-means clustering method is selected to process the data according to the characteristics of the data. Secondly, the results obtained by K-means method are represented by probabilistic linguistic term sets. Thirdly, Bonferroni Mean operator is used …to adjust the weight of the criterion, which considers the consensus among experts. Fourthly, Technique for Order Preference by Similarity to Ideal Solution method is employed to rank the alternatives and select the best one. Finally, sensitivity analysis, comparison analysis and simulation are carried out to further confirm the robustness and advantage of the model. This model can help decision makers to better understand the basic situation of power station sites, make the right decisions, and improve some candidate sites according to the results. Show more

Keywords: Multi-criteria group decision-making, site selection, probabilistic linguistic term sets, K-means, bonferroni mean operator, sensitivity analysis

DOI: 10.3233/JIFS-191739

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-20, 2020

Authors: Tan, Ruipu | Zhang, Wende

Article Type: Research Article

Abstract:  Trapezoidal fuzzy neutrosophic decision making plays an important role in decision-making processes with uncertain, indeterminate, and inconsistent information. In this paper, we propose a new multi-attribute decision-making method based on decision-making trial and evaluation laboratory (DEMATEL), fuzzy distance, and linear assignment method (LAM), and we express evaluation values as the trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, attribute weights are obtained using the DEMATEL method and the new fuzzy distance of TrFNNs based on graded mean integration representation is defined. Then, alternatives are ranked using the LAM in operations research. In addition, we make two comparative analyses in the end to …illustrate the feasibility and rationality of our method. Finally, an illustrative example about typhoon disaster assessment is presented to show the advantages of the proposed method. Show more

Keywords: Multiple attribute decision making, trapezoidal fuzzy neutrosophic set, DEMATEL, fuzzy distance, LAM, typhoon disaster evaluation

DOI: 10.3233/JIFS-191758

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-27, 2020

Authors: Holdon, Liviu-Constantin

Article Type: Research Article

Abstract: The variety of De Morgan residuated lattices includes important subvarieties of residuated lattices such as Boolean algebras, MV-algebras, BL-algebras, Stonean residuated lattices, MTL-algebras and involution residuated lattices (see L.C. Holdon [7 ]). X. Zhu, J. Yang and A. Borumand Saeid [16 ] used a special family of extreme fuzzy filters F on a BL-algebra L , they constructed a uniform structure ( L , K ) , and then the part K induced a uniform topology τ F in …L  . Also, they proved that the pair ( L , τ F ) is a topological BL-algebra, and some properties of ( L , τ F ) were investigated. Inspired by their study, in this paper, we define the family of extreme fuzzy ideals I on a De Morgan residuated lattice L , we construct a uniform structure (L , K ) , and then the part K induce a uniform topology τ I in L  . We prove that the pair ( L , τ I ) is a topological De Morgan residuated lattices, and some properties of ( L , τ I ) are investigated. In particular, we show that ( L , τ I ) is a first-countable, zero-dimensional, disconnected and completely regular space. Finally, we give some characterizations of topological properties of ( L , τ I ) . We note that, since ideal and filters are dual in BL-algebras (see C. Lele and J. B. Nganou [12 ]), a study on extreme fuzzy ideals in BL-algebras follows by duality, but in the framework of De Morgan residuated lattices, which is a larger class than BL-algebras, the duality between ideals and filters does not hold, so the study of extreme fuzzy ideals in De Morgan residuated lattices becomes interesting from algebraic and topological point of view, and the results of X. Zhu, J. Yang and A. Borumand Saeid [16 ] become particular cases of our theory. Show more

Keywords: De Morgan residuated lattice, obstinate ideal, extreme fuzzy ideal

DOI: 10.3233/JIFS-191474

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Hu, Hanqing | Ma, Yu | Wu, Sijian

Article Type: Research Article

Abstract: It is an inevitable requirement of the realization of Chinese rural revitalizing strategies to achieve high-quality development of rural economy. In this essay, the evaluation system for high-quality development of rural economy in the new era is constructed from six dimensions, including innovative development, infrastructure, ecological environment, economic achievements, economic stability and market mechanism and the method of entropy weight-fuzzy comprehensive evaluation is adopted to measure the levels of high-quality comprehensive development of rural economy of 30 provinces and cities of China in 2017. The research finds that the dimensional weight of ecological environment is the biggest, which is 31.76%, …followed by infrastructure, economic achievements, economic stability, innovative development and market mechanism from large to small. The level of high-quality development of rural economy in China is generally low and a majority of the provinces are backward. Therefore, to grasp the development status of Chinese rural economy and clarify balanced development between regions could provide basis for promoting comprehensively high-quality development of Chinese rural economy. Show more

Keywords: High-quality development of rural economy, entropy weight, fuzzy comprehensive evaluation, measurement system

DOI: 10.3233/JIFS-179825

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Dheenathayalan, S. | Paramasivan, B.

Article Type: Research Article

Abstract: Delay Tolerant Network (DTN) is an array of protocols which work together to enable a standardized way to communicate between nodes is store-carry-and-forward approach. In DTN, nodes help to convey message even with connectivity problem. Instead of using the own resource to pass a message to other nodes, a relay node is preferred which discovers the sink node with a greater probability of transferring messages on its own. A condition named node’s selfishness is thus raised and it surely degrades network performance, which is more obvious in urban environment. To handle such problem, an incentive-based routing algorithm is generated by …using the concept Selfishness-Enhanced Reliable Forwarding (SERF) to remove node selfishness and Direct Diffusion to omit duplicate messages present in relay node. This algorithm finds the probability of messages received by the relay node with reference to the usage of resources of sender node. Concurrently, buffer management policy is maintained, by setting the threshold of message copies according to the resource consumption of the source node when it generates a message. The result reveals that the proposed algorithm is better to the existing algorithms with regard to the performance metrics such as, delivery ratio, the average delay, and network overhead. Show more

Keywords: DTN, buffer management, incentive mechanism, Direct Diffusion, SERF

DOI: 10.3233/JIFS-191409

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Yang, Qianru | Cheng, Shouming | Zhou, Bo

Article Type: Research Article

Abstract: In view of the weak vertical bearing capacity and low safety performance of the traditional soft rock pile foundation for human settlements, this paper proposes to monitor the vertical bearing capacity of the soft rock pile foundation for human settlements in Lhasa. The vertical mechanism of soft rock is analyzed, including the uniaxial compressive strength of rock around the pile, the relative displacement of pile rock and the interface condition of pile rock. The vertical bearing capacity of the pile foundation in soft rock is calculated by load transfer method. The side friction model and the pile end of the …pile are established to determine the pile foundation. The calculation formula of the load settlement curve is obtained by using the side friction model and the pile end resistance model. The vertical bearing capacity of the pile foundation in soft rock is analyzed when the pile side rock is in the elastic stage and the surrounding rock is in the plastic stage. The test results show that friction pile plays an important role in the test pile under the working load. This method can effectively monitor the vertical bearing capacity of pile in the soft rock geological environment of human settlements, and can be applied to practical projects. Show more

Keywords: Lhasa, human settlements, soft rock, geological pile foundation, vertical, bearing capacity

DOI: 10.3233/JIFS-179834

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Tian, Chenxiao | Zhang, Baoshuai | Duan, Jun

Article Type: Research Article

Abstract: Based on the Copula-CoVaR framework, the Beta-skew-t-EGARCH model is used to capture the leverage effect of financial assets, the thick tail distribution and the conditional skewness. Then, based on the standard deviation, this paper introduces the extreme value theory, combined with the Copula function and the CoVaR method which are used to measure the effect of China’s crude oil market on the risk spillover effects of domestic and international commodity markets, and reveals the impact of China’s crude oil market. The results show that, regardless of the domestic Crude oil market and international commodity market, domestic crude oil market and …domestic commodity market, there is a two-way positive risk spillover effect, which shows asymmetric characteristics. The results provide some theoretical supports for the regulatory authorities to enhance the marketization level of China’s crude oil market, some suggestions for the investment institutions to assess the risk level of China’s crude oil market, and some reference value for investors to invest in China’s crude oil market. Finally, based on the conclusions of the study, this paper provides some targeted recommendations to the development of China’s crude oil market. Show more

Keywords: Oil markets, commodity markets, risk spillover effect

DOI: 10.3233/JIFS-179837

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Ma, Liang | Gu, Jinan | Saeed, Tareq

Article Type: Research Article

Abstract: Gradually, OLED all screen has become one of mainstream mobile display devices. In this technology, the metal wiring in the bending area is prone to breakage, thus forming dead pixels. The yield rate may be affected by it. Therefore, the stress-strain analysis for the bending area in the bending process has become one of the main problems in OLED research. Firstly, the structural characteristics of OLED were analyzed, and the bending technology was introduced and analyzed. Secondly, the test process of discrete element method was analyzed. Finally, the strain analysis model was established through the multi-layer stacking characteristics of bending …area. Moreover, the simulation of bending process was completed by quasi-static analysis. Then, the validity of analysis was verified by the test comparison. The results show that the proposed method can not only analyze the mechanical properties of OLED bending area effectively under different cover plate stiffness, and the maximum error rate of the method is only 4.87, which is far lower than the traditional method. Therefore, the content and conclusion provide the further research of mechanical properties of OLED bending area with an important technical foundation. Show more

Keywords: Relaxation method, OLED, Newton’s second law, stress analysis

DOI: 10.3233/JIFS-179826

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Liu, Qiang | Lian, Zhifeng | Guo, Yu | Yang, Feixue

Article Type: Research Article

Abstract: Combined with the relevant theories and frameworks, this study constructs evaluation indicator and index system of organization quality specificity immune evolution ability. On the basis, this study uses the intuitively fuzzy multi-attribute decision making method based on evidential reasoning to carry out empirical analysis of organizational quality specificity immune evolution ability, empirical analysis data derive from the research objects of relevant experts, typical and representative large-sized manufacturing enterprises. The empirical analysis results indicate that the intuitively fuzzy multi-attribute decision making method based on evidential reasoning considers subjective and objective factors, which integrates the intuitively fuzzy information and gives out the …corresponding decision according to the evaluation value. It is also useful, effective, feasible and operable to take the intuitively fuzzy multi-attribute decision making method based on evidential reasoning to evaluate, select and make decision choice on the best and optimal partner and investee object in multi-attribute group decision making according to organization quality specificity immune evolution ability, and give out orders of all partners and investees. The research methods and results can further improve the organization quality specificity immune efficiency, identify organization quality problems and defects, improve organization quality performance, and maintain organization health, which also provide new decision-making method for the multi-attribute groups of organization quality specificity immune evolution ability. Show more

Keywords: Intuitively fuzzy multi-attribute group decision making, evidential reasoning, organizational quality specificity immune evolution ability

DOI: 10.3233/JIFS-179832

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Alzubi, Jafar A. | Jain, Rachna | Kathuria, Abhishek | Khandelwal, Anjali | Saxena, Anmol | Singh, Anubhav

Article Type: Research Article

Abstract: The paper presents a Collaborative Adversarial Network (CAN) model for paraphrase identification, which is a collaborative network holding generator that is pitted against an adversarial network called discriminator. There has been tremendous research work and countless examinations done on sentence similarity demonstration. Learning and identifying the constant highlights, specifically in various areas and domains is the main focus of paraphrase identification. It Involves the capture of regular highlights between two sentences and the community-oriented learning upon traditional ill-disposed and adversarial learning for common feature extraction. The model outperforms the MaLSTM model, which is the baseline model, and also proves to …be comparable to many of the state-of-the-art techniques. Show more

Keywords: Paraphrase identification, text classification, adversarial networks, LSTM, NLP

DOI: 10.3233/JIFS-191933

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Dai, Songsong

Article Type: Research Article

Abstract: The symmetric implicational methods for fuzzy reasoning characterizes the solution B * (A * ) of the formula (A  → 1 B ) → 2  (A *  → 1 B * ) for the fuzzy modus ponens (fuzzy modus tollens), where →1 and →2 are two different implications. In this study, we provide a predicate formal representation of the solution for the symmetric implicational methods based on the LΠ formal logic system, including detailed logic proofs. We bring the symmetric implicational methods within a logical framework and provide a sound logic foundation for the symmetric implicational methods of fuzzy reasoning.

Keywords: Fuzzy reasoning, symmetric implicational method, LΠ logic

DOI: 10.3233/JIFS-191998

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2020

Authors: Hu, Jun-ming | Zhang, Yan-ru | Xu, Gang | Zhang, Zhi-qiang

Article Type: Research Article

Abstract: This paper has investigated hydrodynamic performances of biomimetic flapping foils based on RANS method, and numerical results of aero foil profile of NACA are verified. Besides, propulsion performances of six types of biomimetic flapping foils with pure rolling motion are compared. The influence of phase difference and moving amplitude of rolling and pitching composite motion on propulsion performance is researched and the change of wake stream field is analyzed. The results show that the hydrodynamic performance of bionic humpback whale flapping foil is better, whose average thrust in one cycle and the maximum propulsive efficiency increase with the increasing flapping …frequency; the propulsion performance of rolling and pitching composite motion is superior to that of pure rolling motion, and its better values of phase difference and moving amplitude are respectively 90° and 6°; the leading edge vortex appears two times in one cycle, consistent with the instantaneous thrust numerical results. This method provides a reference value for the design and application of AUV. Show more

Keywords: RANS method, biomimetic flapping foils, rolling motion, rolling and pitching composite motion, hydrodynamic performance

DOI: 10.3233/JIFS-179827

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Hu, Ziyu | Ma, Xuemin | Sun, Hao | Yang, Jingming | Zhao, Zhiwei

Article Type: Research Article

Abstract: When dealing with multi-objective optimization, the proportion of non-dominated solutions increase rapidly with the increase of optimization objective. Pareto-dominance-based algorithms suffer the low selection pressure towards the true Pareto front. Decomposition-based algorithms may fail to solve the problems with highly irregular Pareto front. Based on the analysis of the two selection mechanism, a dynamic reference-vector-based many-objective evolutionary algorithm(RMaEA) is proposed. Adaptive-adjusted reference vector is used to improve the distribution of the algorithm in global area, and the improved non-dominated relationship is used to improve the convergence in a certain local area. Compared with four state-of-art algorithms on DTLZ benchmark with …5-, 10- and 15-objective, the proposed algorithm obtains 13 minimum mean IGD values and 8 minimum standard deviations among 15 test problem. Show more

Keywords: Many-objective optimization, evolutionary algorithm, Gaussian mixture model, selection mechanism

DOI: 10.3233/JIFS-192124

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Tang, Ning

Article Type: Research Article

Abstract: In order to further improve the students’ learning ability, discrete analysis of linguistic pseudo-parallel constructions and symbols under the activation diffusion model is performed. Taking English as an example, this paper analyzes the usage of false paratactic construction from the perspectives of violating the restriction rules of paratactic structure and the irreplaceable nature of “and”; briefly introduces the discreteness of English vocabulary and analyzes the metaphorical function of the cognitive mode of lexical discreteness. Based on the improved activation diffusion model, the experiment class uses the activation diffusion model to implement the false parallel construction and vocabulary discrete teaching, while …the control class uses the traditional method to implement the false parallel construction and vocabulary discrete teaching. The final results show that the average English score of the experiment class is improved by 14.5%, while the control class is only improved by 3.2%. The results show that the activation diffusion model is helpful to grasp the pseudo paratactic construction and analyze the discreteness of English vocabulary. Show more

Keywords: Activation diffusion model, language, pseudo paratactic construction, symbol, vocabulary, discreteness

DOI: 10.3233/JIFS-179823

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Wang, Hui | Cao, Zijian | Hong, Bo

Article Type: Research Article

Abstract: Intrusion detection systems (IDSs) play an important point in resisting hacker intrusion. With the rapid development of the network technology, network security has received more and more attention from researchers of different fields, and the traditional network security system based on the regular intrusion detection rules cannot meet the growing demand of changeable and timely intrusion prevention. Therefore, the development of efficient IDSs always is an open challenge. Firstly, a novel intrusion detection method based on the Convolutional Neural Network (CNN) is proposed in this paper. Secondly, based on the proposed method, an efficient, real-time and automated intrusion detection system …named IDS-CNN is well designed. The system is built by several open source tools, such as the packet capture interface Tcpdump, the traffic analysis Bro and the machine learning interface Tensorflow. The system is composed of data preprocessing, neural network training, network testing and intrusion response based on Linux platform. Finally, through the simulation experiment with NSL-KDD data set and the actual network flow test, the experimental results indicate that the proposed IDS-CNN system can not only complete the intrusion detection for network data streams efficiently, but also its detection precision is better than the state-of-the-art method. Show more

Keywords: Convolutional Neural Network, intrusion detection, NSL-KDD, data flow analysis

DOI: 10.3233/JIFS-179833

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2020

Authors: Zhou, Qinghong

Article Type: Research Article

Abstract: Aiming at the problem that Separable Gabor filter can destroy the ridge structure of fingerprint adjacent singular points, and the effect of directional Fourier filter in repairing fingerprint ridges is not obvious, a method for singular point region enhancement of fingerprint image based on symmetric phase consistency is proposed. Fingerprint image is preprocessed to extract effective fingerprint region; the singularity region of the effective fingerprint region is obtained by using the singularity extraction method; the method of singular region feature extraction is used to obtain the singular region feature of fingerprint image; the fuzzy clustering algorithm is used to enhance …the singular region feature of fingerprint image, which can enhance the singular region of fingerprint image. The results show that the quality of fingerprint image enhanced by the proposed method is better, the performance of denoising is remarkable, and the efficiency of extracting singular feature of fingerprint image is high. Show more

Keywords: Symmetric phase, consistency, fingerprint, image, singular point, enhancement

DOI: 10.3233/JIFS-179836

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Zhou, Yuebin | Xu, Jianlong

Article Type: Research Article

Abstract: When resources are limited and the perception tasks are time-constrained, if multiple perception tasks request the response at the same time, it is easy to cause scheduling deadlocks in the perception layer and affect its access speed and perception efficiency. This paper studies the mathematical feature expression method of task and resource allocation when deadlock occurs in the perception layer. According to the conditions of deadlock mutual exclusion, non preemption, request and hold, cycle waiting, a deadlock detection model of hierarchical scheduling system based on time constraints is adopted to establish the time constraint relationship of the deadlock detector and …the genetic algorithm is applied to solve the problem of multi-tasks deadlock relieving strategy optimization in the perceptive layer. The research results and simulation experiments show that the deadlock relieving optimization method based on genetic algorithm can quickly relieve the deadlock, ensure the minimum cost of relieving, and significantly improve the efficiency of deadlock relieving. Show more

Keywords: Internet of things, perception layer, information scheduling, deadlock relieving

DOI: 10.3233/JIFS-179824

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Li, Chunhua | Xu, Baogen | Huang, Huawei

Article Type: Research Article

Abstract: The adequate analysis of bipolar information of a semigroup using a fuzzy set requires incorporation of a bipolar fuzzy set and an appropriate semigroup structure. Motivated by studying partial order and lattice of bipolar fuzzy sets, and algebraic framework of bipolar fuzzy sets, in this paper, we introduce the notion of a bipolar fuzzy abundant semigroup by developing a new technique for constructing fuzzy semigroups. After obtaining some properties of bipolar fuzzy abundant semigroups, we give necessary and sufficient conditions of a bipolar fuzzy subset of an abundant semigroup to be bipolar fuzzy abundant. As an application, we extend our …results to the case of regular semigroup. In particular, bipolar fuzzy regular semigroups are investigated. Show more

Keywords: Bipolar fuzzy set, bipolar fuzzy abundant semigroup, good homomorphism, regularity condition, bipolar fuzzy regular semigroup, 20M20

DOI: 10.3233/JIFS-190951

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Liu, Haiming

Article Type: Research Article

Abstract: In order to solve the problem that the seeder operated by hand controller lacks high-precision visual function, cannot self-identify the seed target, and has low sowing precision, this paper proposes a new automatic sowing robot control research based on basketball motion capture. Through motion capture, obtain the target characteristics. Based on the target characteristics acquired by the vision module of the robot, the path planning of the robot is realized by rotating a certain parking space Angle on the basis of real-time positioning. The performance test shows that the accurate recognition rate is higher than 95.2%, and the maximum is …98.1%. The accurate seed localization rate was 95.5% and the maximum was 98.2%. By comparing the trajectory precision of the joint space of the auto-seeding robot, the precision of the trajectory control method is better than that of the traditional method. The residual removal rate of this method is 39.87% – 46.25%. The effect of different placement methods on seed placement depth showed that the average depth value obtained by this method was 0.001.49, and the depth variation coefficient was 0.70% – 2.00%. This method can improve the target recognition rate and positioning accuracy, meet the needs of high precision sowing operations, and increase the crop yield. Show more

Keywords: Basketball motion capture, automatic seeding robot, multimedia database, feature extraction, path planning

DOI: 10.3233/JIFS-179820

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Li, Jingjing

Article Type: Research Article

Abstract: In order to solve the problem of poor simulation accuracy of the traditional method for the coupled vibration of high-speed railway track, a discrete element simulation method for the coupled vibration of high-speed railway track under load is proposed. Based on the coupled vibration equation of high-speed railway track, the coupled vibration equation of high-speed railway track is built on the basis of determining the vector and parameters. The discrete element model is used to analyze the coupled vibration of high-speed railway track under the action of load, and the results of the discrete element simulation experiment of the coupled …vibration of high-speed railway track are obtained. In order to verify the simulation accuracy of the proposed discrete element method, a comparative experiment is designed. According to the experimental results, the proposed discrete element simulation method for coupled vibration of high-speed railway track under load greatly improves the simulation accuracy. In the 100th experiment, the simulation accuracy of this method is as high as 93%. The coupling vibration discrete element simulation method has better simulation effect. Show more

Keywords: Load, high speed railway, coupling vibration, discrete element simulation

DOI: 10.3233/JIFS-179822

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Meng, Hua | Wang, Weixin

Article Type: Research Article

Abstract: The research on carbon footprint of steel energy supply chain plays an important role in energy conservation and emission reduction. Therefore, this article puts forward a definition method of carbon footprint of iron and steel energy supply chain based on correlation dispersion degree. Firstly, the definition of carbon footprint was given, and the carbon emission of iron and steel industry was calculated. On this basis, the influencing factors were analyzed quantitatively. Meanwhile, the carbon footprint data was processed based on carbon footprint accounting standards, including the carbon footprint data preprocessing, transformation and reduction. According to the preprocessing results, the computation …of carbon footprint was checked. Finally, the correlation dispersion degree of carbon footprints in the steel energy supply chain was analyzed, so as to achieve the definition of carbon footprints in the steel energy supply chain. In order to test the validity and feasibility of the proposed method, a simulation was carried out. Simulation results show that the result of the proposed method is close to the actual result, so that the proposed method can accurately get the influence of various factors on CO2 emissions of the steel industry, and thus to present some targeted measures to reduce the carbon emission of steel industry. Show more

Keywords: Carbon footprint, supply chain, data preprocessing, accounting

DOI: 10.3233/JIFS-179814

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Yue, Guang | Pan, Yutian

Article Type: Research Article

Abstract: As the large error and low efficiency of manual tillage, tractor tillage has become the focus of the current research. However, tractor driving requires a lot of manpower and time. Therefore, the overall efficiency of agricultural tillage is reduced. To address this problem, an intelligent control system of agricultural unmanned tractor tillage trajectory based on machine vision is proposed in this paper. First, the hardware of the automatic control system of agricultural unmanned tractor is designed. Then the intelligent control algorithm is proposed to realize the software design, and the image of tractor tillage environment is processed. Finally, the adaptive …path tracking algorithm is applied to realize the adaptive tracking of the agricultural unmanned tractor tillage trajectory, so as to realize the trajectory control. Experimental results show that the designed system can accurately track and control the agricultural unmanned tractor tillage trajectory and improve tractor operation efficiency. Show more

Keywords: Machine vision, unmanned, agricultural tractor, intelligent control algorithm

DOI: 10.3233/JIFS-179818

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Zhao, Di

Article Type: Research Article

Abstract: Due to poor noise elimination effect and low detection accuracy in traditional methods, a method to detect DC power disturbance data for charging piles based on linear algebra was presented. Firstly, a filter was constructed based on the mathematical morphology theory of linear algebra to preprocess the disturbed waveform, so as to filter out the random noise and impulse noise in signal. Secondly, the filtered waveform was analyzed according to the change rule of grid. And then, a simple and fast singularity detection criterion was proposed to detect the disturbance accurately and quickly and thus to locate the time. According …to the location result, the clustering algorithm based on GK was used to identify various types of disturbance data, so as to make countermeasures. Finally, voltage sag, voltage swell, harmonic wave and the combined disturbances were used to verify the proposed method. The experimental results show that the maximum denoising result of this method is 37.3, and the maximum detection accuracy of disturbance data is 0.952, which is much higher than the traditional method. The results show that the signal-to-noise ratio is larger and the detection effect is better based on the proposed method, so that the Intersection-over-Union (IoU) is improved and the detection accuracy is better. In conclusion, the overall detection performance is better. Show more

Keywords: Mathematical morphology, GK clustering algorithm, signal recognition, SNR

DOI: 10.3233/JIFS-179828

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Liu, Qiang | Lian, Zhifeng | Guo, Yu

Article Type: Research Article

Abstract: Quality is of great significance in enterprises, strengthening and identifying enabling factors of quality defect management are one of core goals of organizational operation management. In this study, sense-making theory is adopted to identify organizational quality defect management enabling factors, and interval-valued hesitant fuzzy set ELECTRE for multi-attribute decision-making method and quantile regression analysis method are used to empirically identify and verify organizational quality defect management enabling factors, revealing influence size and scale, influence degree and influence significance level of enabling factors on organizational quality defect management. Empirical analysis results indicate that combination methods of sense-making theory, interval-valued hesitant fuzzy …set ELECTRE for multi-attribute decision-making method and quantile regression analysis method can effectively identify organizational quality defect management enabling factors, which will have great promise in the field of organizational quality management and operation management based on the rationality, feasibility and applicability. Show more

Keywords: Interval-valued hesitant fuzzy set ELECTRE for multi-attribute decision-making, organizational quality defect management, quantile regression method, sense-making theory

DOI: 10.3233/JIFS-179831

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Li, Jinghong | Wang, Qiang

Article Type: Research Article

Abstract: In the past, in the process of tracking and controlling the discretely-actuated manipulator, the tracking result has a large error. To this end, a control system of trajectory tracking of discretely-actuated manipulator based on computed torque method was designed. The overall framework of the system was analyzed and designed, and the hardware of the system was designed in an integrated DSP information processing environment. The design of the monocular stereo sensor, drive controller, servo drive, etc. was described in detail. Then the control algorithm, the computed torque method, was analyzed. Finally, with the help of the control platform of discretely-actuated …manipulator, the control system of trajectory tracking of discretely-actuated manipulator based on computed torque method was verified. After the different control algorithms were added, the trajectory tracking accuracy of the discretely-actuated manipulator was compared. The experimental results show that the maximum errors of each joint in the system are 0.0568 rad, 0.0347 rad and 0.0044 rad, which are lower than the traditional system, it is shows that the reliability of the system is verified. Show more

Keywords: Monocular stereo sensor, drive controller, servo driver, calculation moment method

DOI: 10.3233/JIFS-179829

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020