Journal of Intelligent & Fuzzy Systems - Volume 38, issue 6

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. 38, no. 6, pp. 7803-7811, 2020

Authors: Yi, Kui | Yu, Lixia | Lu, Lihong

Article Type: Research Article

Abstract: With the development of science and technology, as well as the improvement of living standards, the calculation of social benefit evaluation has been considered as one of the key points for Chinese film and TV enterprises to achieve a sustainable development in the future. The exploration of seeking improvement paths through actively responding to changes in consumer demands and improving social benefits, as well as applying calculation and analysis of evaluation weights, has attracted widespread attention from the academic community. Based on the fuzzy comprehensive evaluation method, this paper applied the concept of fuzzy computing, and conducted a weighted analysis …of the social benefits of Chinese film and TV enterprises through questionnaire and analysis of large sample survey data. Accordingly, it proposed the countermeasures for Chinese film and TV enterprises to achieve innovative development in the future. Show more

Keywords: Fuzzy comprehensive evaluation, film and TV enterprises, benefit evaluation, weight calculation

DOI: 10.3233/JIFS-179851

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7813-7824, 2020

Authors: Zhang, Ye | Hao, Qiang | Cai, Guoqiang | Yang, Chen

Article Type: Research Article

Abstract: The prevailing vehicle recognition technology is adversely affected by the environment such as complex traffic scenarios and weather conditions. This paper proposes a robust vehicle recognition model based on human memory mechanism named Memory-based Vehicle Recognition Model (MVRM). Motivated by the success of memory and attention mechanism, we explore some features of human visual attention model. Fusing short term and long-term memory modules together yield deeper architectures recognizing increasing complex environmental scenarios. Firstly, a rare motion feature has been introduced to measure the visual salience, which improves the accuracy of the visual attention mechanism. Second, a model of vehicle salient …region recognition has been established. The results of experiments show that the dynamic vehicle recognition rate of MVRM is 77.10%, while its false recognition rate has only a nominal value of ∼4.5%. Furthermore, the model offers good recognition of vehicle targets under complex environment conditions related to weather and road traffic. Show more

Keywords: Vehicle recognition, human memory, complex environment, cognitive

DOI: 10.3233/JIFS-179852

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7825-7835, 2020

Authors: Li, Guangrong | Yang, Jinxiu | Huang, Ying

Article Type: Research Article

Abstract: Supply chain finance (SCF) plays a prominent role in solving the small-middle enterprises financing difficulties. But its credit risk is easy to conduct and magnify by the supply chain relation to develop into system risk. In the paper the main structure and causal relationship of SCF credit risk system are analyzed. And then the intelligent analysis system model of SCF credit risk evolving mechanism is constructed based on systematic dynamic, which simulates how the key factors act to each other and how they function to SCF credit risk. The intelligent analysis results show that: (1) The sub-system of bank, core …enterprise, small-mid enterprise and risk intermediary interact and constitute the SCF credit risk system. (2) The credit risk management strategy execution and the management infrastructure input of the bank sub-system can promote improving the management base of core enterprise and small-mid enterprises. (3) To increase the management efficiency of core enterprise and small-mid enterprises can improve enterprises operating level and solvency, and then decrease the SCF credit risk. And also, the core enterprise influences the SMEs’ solvency by actively function to the operation ability. (4) The increasing of risk intermediary can accelerate to the SCF loan quantity, and at the same time, reduce the credit risk. Show more

Keywords: Supply chain finance, credit risk, systematic dynamic, evolving mechanism, intelligent analysis system

DOI: 10.3233/JIFS-179853

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7837-7847, 2020

Authors: Liu, Rong | Li, Huajun

Article Type: Research Article

Abstract: This paper proposes the concept of an intelligent logistics system (ILS) in the context of the Internet of Things (IoT), expounds the characteristics of the ILS, and constructs a logical framework of the ILS based on the IoT. In the dynamic IoT environment, in order to obtain a highly satisfied logistics service, a locally optimal choice of logistics service selection scheme is proposed. This scheme uses the traditional web service combination idea to solve the intelligent logistics service problem. First, model and calculate the Quality of Service (QoS) attributes in logistics, and then select an atomic solution with the best …utility value from each logistics sub-process, perform service composition and execute. The feasibility and effectiveness of the model and algorithm under this scheme are verified by experiments. Show more

Keywords: Internet of Things, intelligent logistics, service composition, web service, logistics service

DOI: 10.3233/JIFS-179854

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7849-7856, 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. 38, no. 6, pp. 7857-7864, 2020

Authors: Zhang, Deping | Sun, Liangbo | Yang, Xuejin | Wang, Beihai | Wang, Luan

Article Type: Research Article

Abstract: The existing control method of wheel slip rate has a long braking time, the gap between the slip rate and the optimal slip rate is obvious, and there is a defect of poor control effect. In order to solve the above problems, the fuzzy algorithm is introduced to design the wheel slip control method. According to the characteristics of ESC system, the control model of wheel slip rate was built. On this basis, the least square optimization algorithm was used to estimate the best slip rate. Based on the estimated optimal slip rate, the multi-agent system was used to design …the slip rate controller, and thus to get the threshold value of slip rate controller. Moreover, the fuzzy algorithm was used to optimize the parameters of slip rate controller, so as to keep the optimal slip ratio. Finally, the control for wheel slip ratio based on fuzzy algorithm was achieved. The simulation results show that the slip ratio of this method is kept between 0.18–0.45, which is less different from the optimal slip ratio. Compared with the existing control method of wheel slip ratio, the proposed control method of wheel slip ratio greatly improves the control effect, which fully shows that the proposed control method of wheel slip ratio has better performance. Show more

Keywords: ESC system, least square optimization algorithm, controller, optimal slip rate

DOI: 10.3233/JIFS-179856

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7865-7874, 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. 38, no. 6, pp. 7875-7892, 2020

Authors: Wang, Tianqi | Zhou, Changjie | Yu, Hui | Sun, Yi | Xie, Xuemei | Liu, Chuanchang

Article Type: Research Article

Abstract: In order to solve the problems of mosaics and fuzzy details in traditional image interpolation and magnification algorithms, an image magnification algorithm based on compensation item edge segmentation is proposed. According to the boundary degree and pixel distance, the boundary line is extracted from the image, and then the plane area, the adjacent boundary line and the boundary line are respectively enlarged by using their own adaptive interpolation amplification algorithm. The linear interpolation algorithm based on the one-dimensional compensation term is adopted to obtain the new interpolation edge points between each point, and retain the boundary information and texture details …information, so as to enhance the image magnification It can improve the resolution and definition of the image. Experiments show that the algorithm can effectively improve the magnification effect of the image, retain the details of the image, and is conducive to image processing. Show more

Keywords: Compensation term, edge segmentation, image enlargement, interpolation

DOI: 10.3233/JIFS-179858

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7893-7902, 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. 38, no. 6, pp. 7903-7914, 2020