Journal of Intelligent & Fuzzy Systems - Volume 41, issue 4

Authors: Wu, Xiaoping | Wu, Peng | Guo, Zihan

Article Type: Research Article

Abstract: Based on the precise logical analysis method, the paper constructs a comprehensive evaluation model of transportation superiority in terms of transportation network density, the influence of transportation arteries, and regional location-specific advantages, then select Southwest China as a case to evaluate the transportation superiority and analyze the correlations of transportation with regional economic development and population distribution. The results show that there is a positive correlation between regional transportation superiority and regional population density as well as GDP per capita in the spatial distribution. Finally, by using the fuzzy logic analysis method, we propose countermeasures and suggestions for the impact …of transportation integration on regional economic development and population distribution. Show more

Keywords: Logical analysis, transportation superiority, regional economy, demographic layout

DOI: 10.3233/JIFS-189967

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4813-4823, 2021

Authors: Shu, Bo | Pei, Fanghua | Zheng, Kaifu | Yu, Mengxia

Article Type: Research Article

Abstract: Aiming at the problem of high cost in cold chain logistics of fresh products home-delivery in supermarket chain in the new retail era, the paper constructs the model of Location Inventory Routing Problem (LIRP) optimization in Satellite Warehouse mode in view of customer satisfaction with the broken line soft time windows. The model minimizes the total cost of the cold chain logistics system of supermarket chain through the location allocation, inventory optimization, the determination of distribution service relationship between Satellite Warehouse and customer, and the constraint of time penalty cost. Then, the paper designed an improved ant colony optimization to …solve the LIRP model of supermarket chain. Finally, the simulation in MATLAB verifies and analyzes the validity of the model and algorithm. Therefore, LIRP optimization model in Satellite Warehouse mode can effectively improve the operational efficiency of fresh products home-delivery in the supermarket chain and thus reduce the logistics cost. Show more

Keywords: Supermarket chain, Satellite Warehouse, cold chain logistics, LIRP

DOI: 10.3233/JIFS-189968

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4825-4839, 2021

Authors: Shen, Lixin | Yu, Shengnan | Shi, Xiaowen | Doan, Thi Phuong Thao | Yang, Zaili | Xu, Bin

Article Type: Research Article

Abstract: In 2020, the Regional Comprehensive Economic Partnership (RCEP) initiated by the Association of Southeast Asian Nations (ASEAN) was officially signed; the RCEP is the largest free trade agreement in the world. As both Vietnam and China are important member countries of this agreement, the close trade cooperation that exists between Vietnam and China has important economic and political implications, and its development has been further improved by the Belt and Road Initiative (BRI). The vast majority of this trade is done through intermodal container transport, so efficient multimodal container transport has become necessary to enable cross-border trade. With the rapid …development of China’s transportation infrastructure, Chongqing has become an emerging logistics hub in inland China. Hai Phong is the largest port city in Vietnam, and it has extensive multimodal transport infrastructure. In this paper, we scientifically evaluate the competing routes for the multimodal container transport supporting China-Vietnam trade, analyse eight transport routes from Chongqing to Hai Phong, and evaluate these routes with the Delphi and CFPR methods. This study can inform Chinese and Vietnamese trade enterprises in terms of selecting their preferred multimodal transport route strategies and the governmental authorities of both countries in making management decisions. Show more

Keywords: Evaluation, BRI (Belt and Road Initiative), sino-Vietnamese trade, intermodal, CFPR (Consistant Fuzzy Preference Relations Method), delphi

DOI: 10.3233/JIFS-189969

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4841-4854, 2021

Authors: Ren, Kai

Article Type: Research Article

Abstract: In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from …the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment. Show more

Keywords: Lane departure warning, steerable filters, Kalman filtering fuzzy logic algorithm, vision and hearing

DOI: 10.3233/JIFS-189970

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4855-4862, 2021

Authors: Chen, Tian

Article Type: Research Article

Abstract: To lower the operating cost of an enterprise, improving the efficiency of logistics, or reducing the cost of circulation is one of the crucial means for the enterprise to cut the costs. In this paper, combined with the rough set fuzzy logic algorithm, in response to the features of the large-scale vehicle scheduling problem, the data collected by monitoring in real time provided by the tracking technology, in conjunction with the data mining technology, are used to support the decision making based on the reverse logistics mode and establish a vehicle scheduling optimization model with the purpose to support the …decision making in transportation logistics. Show more

Keywords: Transportation logistics, vehicle scheduling, rough set fuzzy logic algorithm

DOI: 10.3233/JIFS-189971

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4863-4872, 2021

Authors: Liu, Feng

Article Type: Research Article

Abstract: Regenerative braking system is a system by which an energy conversion device is used to convert kinetic energy into electrical energy and store it in an energy storage device for use when the motor vehicle is driving. To improve the energy recovery rate of pure electric vehicles, a series regenerative braking control strategy based on PMSM fuzzy logic is proposed in this paper. According to this strategy, the motor braking shall be used as much as possible based on ensuring braking stability, 4 braking zones shall be divided according to the braking intensity, and different braking force distribution strategies shall …be used, while comprehensively considering influencing factors such as vehicle speed, ECE regulations, battery, and motor characteristics. Simulink and Cruise are used for modeling and united simulation. The results show that the built model is accurate and reliable. The energy recovery rate can be improved effectively and the cruising range of pure electric vehicles can be extended based on proposed series regenerative braking control strategy. Show more

Keywords: PMSM fuzzy logic, series, regenerative braking, control strategy

DOI: 10.3233/JIFS-189972

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4873-4881, 2021

Authors: Zhang, Fan | Huang, Yusu

Article Type: Research Article

Abstract: As emerging technologies in information security protection, trusted computing and blockchain can guarantee a safe and reliable operating environment and management mechanism in the Power Distribution IoT. Relying on the comprehensive evaluation algorithm of fuzzy mathematics set theory in this paper, a blockchain-based distributed decision-making and collaborative autonomy model for the power distribution IoT is built, and the “manageable and controllable, precise protection, visible and credible, and smart defense” security protection model is established to carry out trusted computing and privacy protection of computer blockchain IoT nodes, and the information security defense level of the distribution network is improved comprehensively.

Keywords: Trusted computing, distributed decision-making, collaborative autonomy, security protection model

DOI: 10.3233/JIFS-189973

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4883-4889, 2021

Authors: Zhang, Zheng | Zheng, Jianrong

Article Type: Research Article

Abstract: Taking the crankshaft-rolling bearing system in a certain type of compressor as the research objective, dynamic analysis software is used to conduct detailed dynamic analysis and optimal design under the rated power of the compressor. Using Hertz mathematical formula and the analysis method of the superstatic orientation problem, the relationship expression between the bearing force and deformation of the rolling bearing is solved, and the dynamic analysis model of the elastic crankshaft-rolling bearing system is constructed in the simulation software ADAMS. The weighted average amplitude of the center of the neck between the main bearings is used as the target, …and the center line of the compressor cylinder is selected as the design variable. Finally, an example analysis shows that by introducing the fuzzy logic neural network algorithm into the compressor crankshaft-rolling bearing system design, the optimal solution between the design variables and the objective function can be obtained, which is of great significance to the subsequent compressor dynamic design. Show more

Keywords: Statically indeterminate problem, crankshaft-rolling bearing system, dynamics simulation, multi-objective optimization, implicit function

DOI: 10.3233/JIFS-189974

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4891-4897, 2021

Authors: Zhang, Zhongwei

Article Type: Research Article

Abstract: The disorderly charging behavior of a mobile compound, large-scale electric vehicles in time and space will not only cause the phenomenon of “compound the peak” of the electric load, increase of the peak-valley difference of the grid, and may cause partial overcharge and line congestion and other issues. Relying on the Interval Type-II fuzzy logic algorithm, the two optimization algorithm of interval type 2 fuzzy logic algorithm and genetic algorithm are compared from the space point of view, based on the research on the optimization problem of electric vehicle charging load space allocation, through the results of calculation examples in …this paper. Practical results have verified the effectiveness and feasibility of the algorithm, and the interval two fuzzy logic algorithm has high practicability. Show more

Keywords: Electric vehicle, charging load, space allocation optimization, interval type-II fuzzy logic algorithm

DOI: 10.3233/JIFS-189975

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4899-4904, 2021

Authors: Luo, Jie | Wang, Deling | Gao, Yuan

Article Type: Research Article

Abstract: In the research of ship collision avoidance and automatic collision avoidance decision-making system, collision risk level is especially important. To evaluate the risk of ship collision, the nature of the risk level of ship collision is analyzed. Based on the fuzzy comprehensive evaluation model based on improved AHP, the concepts of space collision risk and time collision risk are proposed, and the models for space collision risk, time collision risk and collision risk level are established at the same time. The model developed and perfected the concept of ship collision risk, and are more logical, laid a solid foundation for …subsequent comprehensive evaluation. Show more

Keywords: Improved AHP, space collision, time, risk level, digital model

DOI: 10.3233/JIFS-189976

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4905-4913, 2021