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

Authors: Feng, Yuting | Guo, Xuemeng | Wei, Bolu | Chen, Bingyao

Article Type: Research Article

Abstract: The Public-Private Partnership (PPP mode) has been widely used in the field of transportation infrastructure. It can relieve the debt pressure of local governments and improve the efficiency of resource allocation. However, due to the long life cycle of urban rail transit PPP projects and numerous participants, the potential risks arising from the coordination of multi-party relations have become a major obstacle to the development of urban rail transit PPP mode. Based on the perspective of the PPP project company (SPV), this paper adopts the method of fuzzy analytic hierarchy process, takes Shenzhen Metro Line 4 project as the research …object and constructs the risk index system from nine dimensions to evaluate the risks of PPP project. Political risk, legal risk and project promotion risk are the most important risk indicators, while relationship risk and force majeure risk take the lowest proportion. According to the above results, the risk management system, risk sharing scheme and countermeasures in key risk areas are proposed. The study not only applies the fuzzy analytic hierarchy process to the research of urban rail transit risks, but also provides a systematic risk assessment basis and prevention and control reference for the smooth implementation of PPP projects. Show more

Keywords: Fuzzy analytic hierarchy process, urban rail transit, PPP mode, risk evaluation

DOI: 10.3233/JIFS-189997

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5117-5128, 2021

Authors: Bai, Lijie | Yuan, Zhiming | Zhao, Hongtao | Zhang, Tao

Article Type: Research Article

Abstract: This paper studies the real-time trains routing and platforming problem (RT-TRPP) in railway stations that arises from the unreliable arrival times of freight trains, flexible shunting operations and dynamic station layout caused by equipment failure. The feasibility of station timetable is checked before preparing a route for a train or after updating the station layout. If the station timetable is infeasible, the reassignment of trains is triggered. After introducing a problem formulation for the RT-TRPP, we propose an Integer Linear Program (ILP) that strives to minimize the number of conflicting trains. In resulting timetable, directions, arrival and leaving time remain …the same with networks timetable to prevent traffic disturbance of neighboring territories. If the resulting timetable is still infeasible, conflicting trains are pointed out with the cause analysis. The method is tested on real-world complex station which receives always the overload of trains’ activities. The optimal full-day solution of 249 trains is obtained within 2 seconds. The efficiency of this method meets the time-critical nature of RT-TRPP. Show more

Keywords: Train platforming, train routing, traffic management, integer linear programming

DOI: 10.3233/JIFS-189998

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5129-5137, 2021

Authors: Jianzhu, Sun | Qingshan, Zhang | Yinyun, Yu

Article Type: Research Article

Abstract: Multi-site selection is a hot research issue for equipment manufacturing enterprises. With the development of smart industry, equipment manufacturing enterprises have entered the era of personalized and small batch manufacturing. Enterprises want to better meet customer needs and win competition, they must carry out scientific factory planning and site selection, so as to ensure quick response to the market. Based on this, this paper proposes a two-stage location selection model. Firstly, the method uses fuzzy numbers to express the demand size of demand points. Secondly, the distance factor is used as a criterion to select the candidate manufacturing bases with …sufficient available resources. Next, the location model of enterprise manufacturing base is established which the goal of maximizing service efficiency and the constraints of time, cost and demand. Finally, a random numerical example is used to simulate the model, and lingo is used to solve it. Show more

Keywords: Location decision, service benefit, uncertain demand, multiple locations

DOI: 10.3233/JIFS-189999

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5139-5151, 2021

Authors: Li, Congdong | Yu, Yinyun | Xu, Wei | Sun, Jianzhu

Article Type: Research Article

Abstract: In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method …first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method. Show more

Keywords: Collaborative manufacturing, supply chain collaboration, collaborative partner selection

DOI: 10.3233/JIFS-219000

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5153-5165, 2021

Authors: Jing, Zhucui | Song, Shuhong

Article Type: Research Article

Abstract: Most of numerical methods for diffusion equations, refer to vertex unknowns directly or indirectly, and their accuracy is ultimately determined by the approximation to vertex unknowns. Based on the “twin-fitting” method, a simple and high accurate treatment for the vertex unknowns is developed and is applied to the nine-point scheme for diffusion problem. Numerical experiments show that the resulting nine-point scheme is high accurate for diffusion problems with discontinuous diffusion coefficients on distorted meshes.

Keywords: Discontinuous diffusion coefficients, distorted meshes, the “twin-fitting” method, the treatment for the vertex unknowns

DOI: 10.3233/JIFS-219001

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5167-5172, 2021

Authors: Guo, Shujuan | Diao, Cuijie | Li, Gang | Wang, Xiaohan | Zang, Linlin | Jin, Zhihong

Article Type: Research Article

Abstract: The intermodal container terminal is an important node linking the routes of shipping and China Railway Express. This paper proposes a Markov process model to explore the optimal capacity of the reserved storage yard in the intermodal container terminal. The flow balance equations are formulated to calculate the steady-state probability. The total cost is taken as the performance measure. Numerical analysis manifests that the railway preference rate and the strategy with and without transfer obviously affect the optimum capacity of the reserved storage yard. Some useful insights for the management of the intermodal container terminal are discussed.

Keywords: Intermodal container terminal, Markov process, China Railway Express, Belt & Road Initiative

DOI: 10.3233/JIFS-219002

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5173-5180, 2021

Authors: Chen, Hongxu | Huang, Xingjian | Li, Huan | Zhang, Haibo

Article Type: Research Article

Abstract: Urban rail transit station has a large number of people gathering and relatively closed space, which has become a high incidence of emergencies. In the process of emergency evacuation, due to the unbalanced utilization rate of exits, the evacuation time is prolonged, which seriously threatens the safety of people in the station. In order to find out the reasons for the imbalance of the utilization rate of the exit, and put forward the solution, balance the utilization rate of each exit, improve the evacuation efficiency. In this paper, a subway station platform in Southwest China is taken as an example …to establish a three-dimensional simulation model by using anylogic software. Through in-depth analysis, it is found that the reason for the unbalanced utilization of the platform floor exit is that the number of evacuation people at each exit does not match the evacuation capacity. According to the analysis results, the optimization model is put forward. Through comparative analysis, it is found that the optimization model can effectively balance the export utilization rate. Under the current conditions of off peak passenger flow, peak passenger flow and long-term peak passenger flow, the evacuation time can be saved by more than 20%. Show more

Keywords: Urban rail transit, emergency evacuation, export utilization, evacuation time, anylogic

DOI: 10.3233/JIFS-219003

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5181-5189, 2021

Authors: Liu, Xinyu

Article Type: Research Article

Abstract: Based on the capital input/output theory, this paper establishes the input and output value model of Sharing bicycles. In the big data era, it analyzes the acquired data using mathematical statistics, as well as using the Logit model to analyze the current Sharing bicycles model to evaluate profit conditions. The research results have shown that the Sharing bicycle has greatly enhanced people’s green travel style since its launch, and it has great development potentials as well. The investors can clearly define different profit models based on the growing, developing, and stabilizing periods of the Sharing bikes business. The survey data …shows that the Sharing bicycle adapts to the concept of green travel, low carbon, and environmental protection concept, which also has met the urgent demand for short-distance riding. This research provides effective ways and references for the future value-adding in the Sharing travel field. Show more

Keywords: Sharing bicycles, profit model, value

DOI: 10.3233/JIFS-219004

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5191-5197, 2021

Authors: Qu, Letao | Wang, Bohyun | Lim, Joon S.

Article Type: Research Article

Abstract: Distance measures of fuzzy sets have been developed for feature selection and finding redundant features in the fields of decision-making, prediction, and classification problems. Terms commonly used in the definition of fuzzy sets are normal and convex fuzzy sets. This paper extends the general fuzzy set definitions to subnormal and non-convex fuzzy sets that are more precise when implementing uncertain knowledge representations by weighing fuzzy membership functions. A distance measure method for subnormal and non-convex fuzzy sets is proposed for embedded feature selection. Constructing fuzzy membership functions and extracting fuzzy rules play a critical role in fuzzy classification systems. The …weighted fuzzy membership functions prevent the combinatorial explosion of fuzzy rules in multiple fuzzy rule-based systems. The proposed method was validated by a comparison with two other methods. Our proposed method demonstrated higher accuracies in training and test, with scores of 97.95% and 93.98%, respectively, compared to the other two methods. Show more

Keywords: Embedded feature selection, sub-normal fuzzy sets, non-covex fuzzy sets, distance measures, bounded sum, fuzzy neural networks

DOI: 10.3233/JIFS-219005

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5199-5205, 2021

Authors: Xie, Zhouhu | Wu, Xianyu | Guo, Jingxue | Zhan, Zhenxi

Article Type: Research Article

Abstract: Nowadays, parking spaces are scarce resources in urban cities. Travelers often spend too much time looking for available parking spaces, which increases travel time of travelers and results in additional traffic congestion. With the innovation and application of intelligent parking technology, parking spaces can be booked in the system in advance through mobile phone, which will greatly reduce the time for drivers to cruise and search for parking spaces. Targeted at the serious waste of parking resources, traffic congestion caused by too intensive parking demand in time and space, a parking allocation model considering the ability of dynamic and static …traffic conversion is established with the goal of minimizing the total travel time of the travelers. Based on the dynamic traffic distribution model, considering the constraints of capacity of the road link, parking lot entrance and the number of the parking spaces in parking lot, the dynamic and static traffic is combined by considering the parking lot connection section as a conversion link to be added into the traffic network. And the solution method based on particle swarm optimization is proposed. Experimental results on a case (Beijing Chaoyang Joy City and surrounding parking lots) show that our parking allocation model works satisfactorily by effectively reducing the travel time of travelers and increasing customer arrivals in shopping centers. From the point of view of traffic managers, the model can make the parking occupancy of all parking lots more balanced, which indicates that the model can help to better coordinate the available parking resources. In summary, the model proposed in this paper can not only divert the flow beyond the capacity of the road facilities at the connection of the parking lot, but also balance the utilization rate of the surrounding parking resources and reduce the dynamic traffic pressure, it is a proper way to develop the sustainable transportation. Show more

Keywords: Parking, traffic network, parking lot allocation, traffic distribution, particle swarm optimization, sustainable transportation

DOI: 10.3233/JIFS-219006

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5207-5217, 2021

Article Type: Retraction

DOI: 10.3233/JIFS-219217

Citation: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5219-5219, 2021