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

Authors: Zhang, Xiaoqiang | Li, Lin | Le Vine, Scott | Liu, Xiaobo

Article Type: Research Article

Abstract: The market-oriented rail operation planning and pricing are two key issues to enhance the competitiveness and attractiveness of rail sector. A limitation of the state-of-the-art in this area of research is that supply-side (operation planning) and demand-side issues (affected by the pricing) are generally considered separately. The contribution of this paper is to propose a revenue-maximization model that integrates these two dimensions, based on dynamic ticket-pricing, elasticity in passenger demand, and flexible dispatching. The model considers both operating costs directly borne by the rail service operator and costs indirectly incurred by passengers due to the disutility of unproductive travel time …(i.e. the value of time). The strategy to identify the profit-maximizing joint pricing/dispatching strategy is based on Lyapunov optimization. The Lyapunov optimization is applied to obtain a fully distributed and low-complexity multi-slot algorithm only requiring knowledge of the instantaneous system state. We prove the explicit trade-off between the optimization objective and queue backlog. The Guangzhou-Shenzhen railway (Guangdong, China) is employed as the empirical case study, to expose the properties of the proposed model. Show more

Keywords: Rail service planning, dynamic pricing, Lyapunov drift-plus-penalty, queue backlog, revenue management

DOI: 10.3233/JIFS-181701

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Hu, Xiu-lian | Ke, Sheng-Jie

Article Type: Research Article

Abstract: The initial crisis early warning index system of the supply chain quality has been built up according to crisis inducement, documentary research and corporate research. Then we evaluated the feasibility, importance, independence of the index system by using experts scoring methodology. The initial crisis early warning index system has been filtered by fuzzy inference system (FIS) and the final crisis early warning index system has been established.

Keywords: Supply chain quality, crisis early warning, early warning index, crisis inducement

DOI: 10.3233/JIFS-169870

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018

Authors: Anderson, James | Suh, Wonho | Guin, Angshuman | Hunter, Michael | Rodgers, Michael O.

Article Type: Research Article

Abstract: This paper presents a procedure for assigning multiple Level-of-Service (LOS) ratings to travel time data sets containing multiple (composite) distributions. Different LOS modes within a mixed data set, the travel time data were fitted to multiple gamma-type distributions using an Expectation Maximization (EM) iterative process. The EM process was enhanced with a Monte Carlo style method, wherein the EM process was run 100 times with different random starting values and the best fit according to an R-squared value was taken. The number of underlying distributions was determined by fitting 1 to 5 distributions and using the Akaike Information Criterion to …determine which number of fits maximized the information content of the fitted function. The resulting final posterior probabilities were then used to separate the data into their respective distributions. Reported here are the results of applying this procedure to travel time data collected in the Metro Atlanta area. It is believed that this method can provide enhanced LOS information, especially when the data contain multiple overlapping travel time distributions. This multiple LOS rating method is not intended to replace the current method, instead it is being developed as a supplementary tool to provide more detailed LOS information, for example providing a more detailed view that captures the underlying performance of each subgroup in addition to a single aggregate LOS measure. Show more

Keywords: Travel time distribution, expectation maximization iterative process, Monte Carlo simulation

DOI: 10.3233/JIFS-169872

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Wu, Huan | Zhao, Tingdi | Jiao, Jian | Chen, Zhiwei

Article Type: Research Article

Abstract: With the increasing of system scale and the growing of functional requirements and interactions within and/or among system hierarchies, there are more difficulties for safety engineers to carry out their works. Especially, the research on phased mission system (PMS) with probabilistic common cause failures (PCCFs) is still in the initial stage and has a lot of limitations, because the current researches have not yet considered the dynamic characteristics of PMSs. In this paper, a modular method is proposed as the theoretical basis to construct the components model in the PMS with PCCF. The relationships between common cause events were discussed …and the probabilistic model of CCFs is extended, so that the model can fit for different statistical relations, and a module-based modeling and analysis method using binary decision diagram (BDD) and Markov model were proposed to deal with static and dynamic module in PMS respectively. Moreover, a standardization of description method for modular method using extensible markup language (XML) is given, based on which the system reliability model can be constructed by computer aided. Finally, the proposed method is demonstrated through a case study. Show more

Keywords: Probabilistic common cause failure, phased-mission system, Markov method, XML, standardization, automatic generation of model

DOI: 10.3233/JIFS-169865

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Liu, Yong | Zhou, Ting

Article Type: Research Article

Abstract: Some factors such as expert information, behavior and time influence the decision-making results in dynamic group decision-making. In view of this, from the angle of group negotiation and system coordination, we exploit the Orness measure constraints and Nash bargaining model to establish a novel dynamic group grey target decision method. In this paper, we firstly define concepts of multi-index group measure matrix, stage bull’s-eye matrix and whole bull’s-eye matrix, which consists of the schemes, the objective, the experts, and the time. Then, based on the maximization of decision group satisfaction and the minimization of system coordination deviation, the asymmetric Nash …bargaining model is used to construct a two-step optimization model. Last, the suggested optimization model is used to solve stage bull’s eye matrix. What’s more, we utilize the Orness measure constraints to establish a phase weight nonlinear programming model, and then use it to solve the weight of the stage and determine the entire bull’s-eye matrix. And we utilize the norm to measure the norm distance between group measure matrix and the stage and whole bull’s-eye matrix of the schemes, so that we can give the stage and whole schemes ranking. Finally, the case of emergency group decision making tests the validity and rationality of the proposed method. Show more

Keywords: Bull’s-eye, group negotiation, Orness measure constraint, dynamic, norm distance

DOI: 10.3233/JIFS-181174

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Wu, Chun-Hui | Chen, Ta-Cheng | Hsieh, Yi-Chih | Tsao, Huei-Ling

Article Type: Research Article

Abstract: According to the reports of the World Health Organization, the abnormal total cholesterol is one of the major risk factors for cardiovascular diseases. Supporting this, a number of prospective studies have examined that the risk of cardiac morbidity and mortality is directly associated with the concentration of plasma total cholesterol. Traditional Chinese medicine has been used to treat cardiovascular diseases since it creates milder healing effects and incurs fewer side effects than Western approaches. However, in real world, the traditional Chinese medicine diagnosis using the meridian system is highly complicated in nature so that it is difficult to create a …general model. In our research, a hybrid evolutionary rule mining approach is proposed to assess the total cholesterol data patterns detected from the traditional Chinese medicine meridian energy. Based on the proposed approach, a rule-based decision-making model can be developed with maximum classification accuracy. Through a numerical experiment, the results of this study were compared with the commercial data mining software and the proposed approach is shown to be a promising method for improving prediction accuracy with fewer type II errors. The research outcomes may have benefits to help diagnose and treat cholesterol abnormalities in traditional Chinese medicine clinical therapy. Show more

Keywords: Rule mining, traditional Chinese medicine, total cholesterol, decision-making

DOI: 10.3233/JIFS-169864

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Ke, Hua | Chai, Shiwei | Cheng, Rong

Article Type: Research Article

Abstract: The rapid development of car sharing raises a concerned question: is it a better alternative to car sales? This paper studies a business model selection problem where an automobile manufacturer with uncertain information chooses his strategy from three options: sale only (SO ), car sharing only (CO ), and both sale and car sharing (SC ). A game-theoretic model is built to investigate what are the key factors influencing the introduction of car sharing and how it brings environmental impact. Our results show that both the selling price and car-sharing fee keep invariable regardless of which business model the manufacturer …chooses. CO is a dominated strategy. Besides, SC dominates SO when producing cost is either sufficiently low or high, while the opposite is true for a medium producing cost. In addition, only when producing cost is sufficiently high, a win-win outcome emerges: the introduction of car sharing not only increases the manufacturer’s profit, but also reduces total vehicle quantity, which helps alleviate urban congestion. Finally, our results prove that the increase of uncertainty degree benefits the manufacturer when SC is adopted. Show more

Keywords: Car sharing, game theory, pricing strategy, uncertain information, business model selection

DOI: 10.3233/JIFS-18961

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Shieh, Cheng-Shion

Article Type: Research Article

Abstract: This study proposes the digital fuzzy control based on Adaptive-Network-based Fuzzy Inference System (ANFIS) to overcome the tracking problem of a DC-AC and DC-DC boost converter and to implement on a digital computer. The proposed method eliminates the trial and error commonly associated with fuzzy systems. In the proposed design scheme, we take the existing continuous controller as training data of the ANFIS such that the proposed digital fuzzy control can replace original continuous one and can keep the original system performance. It is a sense of digital redesign that this paper proposes a new digital control such that the …state trajectories of the sampled-data closed loop systems close to the continuous-time one. An existing boost converter circuit has demonstrated the feasibility of the proposed methodology. Show more

Keywords: Digital fuzzy control, DC-DC regulator converter, DC-AC tracking converter, adaptive-network-based fuzzy inference system (ANFIS), digital redesign

DOI: 10.3233/JIFS-169863

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Petrovsky, Alexey B.

Article Type: Research Article

Abstract: The paper considers new classes of spaces of finite, bounded, measurable multisets with different metrics, pseudometrics, quasimetrics, symmetrics, and some properties of these metrics. We discuss the possibilities to apply new types of metrics for estimating proximity of objects with many numerical and/or verbal attributes. We use the introduced indexes of similarity and dissimilarity of objects represented as multisets in new methods of group multiple criteria decision making.

Keywords: Multiset, space of multisets, metric, pseudometric, quasimetric, symmetric, multi-attribute objects, similarity and dissimilarity of objects, group multiple criteria decision making, group verbal decision analysis

DOI: 10.3233/JIFS-18525

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Hsieh, Wen-Hsiang

Article Type: Research Article

DOI: 10.3233/JIFS-169904

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-1, 2018