scholarly journals Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yuning Wang ◽  
Zhe Zhang ◽  
Hui Sun
Keyword(s):  
Customer Satisfaction ◽  
Decision Model ◽  
Group Decision ◽  
Urban Rail Transit ◽  
Fuzzy Entropy ◽  
Rail Transit ◽  
Satisfaction Level ◽  
Intuitionistic Fuzzy ◽  
Urban Rail ◽  
Intuitionistic Fuzzy Entropy

Urban rail transit has played an important role in big and crowded cities. Providing services with high levels of customer satisfaction is essential in order to increase the sharing rate of urban rail transit and to reduce traffic congestion by shifting people away from private car use. Therefore, it is of great significance to improve the customer satisfaction of urban rail transit. This paper presents an intuitionistic fuzzy group decision model to evaluate the customer satisfaction of urban rail transit. An evaluation indicator system including seven categories of indicators is established to measure passengers’ satisfaction. The overall customer satisfaction level of the urban rail transit lines is obtained by the intuitionistic fuzzy entropy and intuitionistic fuzzy weighted average (IFWA) operator. The intuitionistic fuzzy entropy is used to solve attribute weights and IFWA operator is used to solve the information aggregation. Drawing on Tianjin urban rail transit lines as a case study, the detailed analyses were conducted to evaluate the overall customer satisfaction level of five urban rail transit lines and as such suggesting remedy strategies. The results can help urban rail transit operation company to improve the service quality of urban rail transit.

scholarly journals Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1101 ◽  
Author(s):  
Liu ◽  
Qian ◽  
Lin ◽  
Zhang ◽  
Zhu
Keyword(s):  
Delivery System ◽  
Group Decision ◽  
Weighted Average ◽  
Fuzzy Entropy ◽  
Project Delivery ◽  
Delivery Mode ◽  
Practical Case ◽  
Engineering Project ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy

The project delivery mode is an extremely important link in the life cycle of water engineering. Many cases show that increases in the costs, construction period, and claims in the course of the implementation of water engineering are related to the decision of the project delivery mode in the early stages. Therefore, it is particularly important to choose a delivery mode that matches the water engineering. On the basis of identifying the key factors that affect the decision on the project delivery system and establishing a set of index systems, a comprehensive decision of engineering transaction is essentially considered to be a fuzzy multi-attribute group decision. In this study, intuitionistic fuzzy entropy was used to determine the weight of the influencing factors on the engineering transaction mode; then, intuitionistic fuzzy entropy was used to determine the weight of decision experts. Thus, a comprehensive scheme-ranking model based on an intuitionistic fuzzy hybrid average (IFHA) operator and intuitionistic fuzzy weighted average (IFWA) operator was established. Finally, a practical case analysis of a hydropower station further demonstrated the feasibility, objectivity, and scientific nature of the decision model.

Urban Rail Transit Financial Subsidy Decision Based on Information Fusion

2013 ◽  
Vol 361-363 ◽  
pp. 1954-1957
Author(s):  
Hong Yan Liang ◽  
Jian Jun Wang
Keyword(s):  
Information Fusion ◽  
Decision Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Subsidy Policy ◽  
Urban Rail ◽  
Fusion Theory ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Financial Subsidy

The Internet of things technology provides a new model for reference for information fusion. Based on information fusion theory and methods for relative basic data fusion, established the urban rail transit financial subsidy decision model by using the marginal cost method, which assist to decide the urban rail transit finance subsidy policy.

scholarly journals Intuitionistic Fuzzy Factorial Analysis Model for Supplier Selection of Urban Rail Transit Companies within a Random Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hui Sun ◽  
Hanlin Li ◽  
Yuning Wang ◽  
Yufei Yang
Keyword(s):  
Random Environment ◽  
Supplier Selection ◽  
Indicator System ◽  
Urban Rail Transit ◽  
Factorial Analysis ◽  
Rail Transit ◽  
Analysis Model ◽  
Intuitionistic Fuzzy ◽  
Urban Rail ◽  
Selection Of

Facing serious environmental and traffic problems, urban rail transit companies, with the features of large capacity and high efficiency, have become an important choice for many large cities that are prioritizing public transportation and encouraging green travel options. As the construction speed of rail transit projects accelerates, the demand for materials and devices required for construction and operation is also increasing for urban rail transit companies. Therefore, the scientific selection of suppliers to meet construction and operation demands has become a problem that must be addressed. This paper presents an intuitionistic fuzzy factorial analysis model in a random environment, where correlative phenomena among each of the indicators and a random decision-making environment are considered. The evaluation indicator system of rail suppliers is established by considering the influencing factors. The extracted common factors indicate the nature of the studied object in a most direct way. The suppliers are evaluated from the perspective of the number of intuitionistic fuzzy factors and are ranked by their scores. Finally, the Tianjin urban rail transit company is used as a case study to illustrate the validity and feasibility of the method. The results can help urban rail transit companies improve their existing supplier selection method.

Research on Group Decision-Making Optimization Model of Urban Railway Traffic Network Scheme

2011 ◽  
Vol 228-229 ◽  
pp. 519-525
Author(s):  
Hong Yan Yan ◽  
Fei Lian Zhang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Attribute Weights ◽  
Railway Traffic ◽  
Urban Rail ◽  
Urban Rail Transit Network

Aiming at the evaluation and optimization of urban rail transit network scheme, the optimization decision-making model based on group TOPSIS was advanced in this paper. The multi-attribute evaluation index system of urban rail transit network was established. Then the decision-making’s position matrix and the attribute weights were determined using the idea of group decision-making on the basis that group rationality was guaranteed , which aimed at the phenomenon that preference of decision-making existed and the reduction of decision-maker’s preference had influence on the result of decision-making. The network scheme was ranked based on TOPSIS method to arrive at a decision. The example in this paper has verified the effectiveness and practicability of the model.

scholarly journals Contingency Response Decision of Network Public Opinion Emergencies based on Intuitionistic Fuzzy Entropy and Preference Information of Decision Makers

2021 ◽  
Author(s):  
Sha Fu ◽  
Ye-zhi Xiao ◽  
Hang-jun Zhou
Keyword(s):  
Decision Making ◽  
Public Opinion ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Entropy ◽  
Preference Information ◽  
Intuitionistic Fuzzy ◽  
Intuitionistic Fuzzy Entropy ◽  
Fuzzy Group Decision Making ◽  
Network Public Opinion

Abstract A multi-attribute group decision-making (MAGDM) method based on intuitionistic fuzzy preference information is proposed for the multi-attribute intuitionistic fuzzy group decision-making problem where the decision-makers weight and attribute weight are completely unknown and the decision-maker has preference information for the scheme. Firstly, an intuitionistic fuzzy interval judgment matrix is established to describe the original data of the key decision indicators for multiple network public opinion emergencies that erupt simultaneously. Secondly, the attribute weights are determined based on the improved intuitionistic fuzzy entropy construction method, and the expert weights are determined by using objective decision information, taking into account the intuitionistic fuzzy entropy of decision matrix. Thirdly, a scheme preference model and an attribute weight optimization model are established to determine the ranking method of intuitionistic fuzzy interval values. Then, an improved intuitionistic fuzzy number distance measure is introduced to make the evaluation result more accurate and reasonable when it comes to solving the deviation between the evaluation value and ideal solution of each scheme. Finally, the effectiveness and practicability of the proposed decision-making method are verified by an example of emergency crisis severity, which improves the efficiency of emergency treatment, helps emergency departments to better deal with the network public opinion crisis, improves the ability of public opinion guidance and control, and provides a new method and idea for multi-attribute intuitionistic fuzzy group decision-making problem.

On intuitionistic fuzzy order-α divergence and entropy measures with MABAC method for multiple attribute group decision-making

2021 ◽  
Vol 40 (1) ◽  
pp. 1191-1217
Author(s):  
Rajkumar Verma
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Entropy ◽  
Information Measures ◽  
Divergence Measures ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Intuitionistic Fuzzy Entropy ◽  
Entropy Measures

The development of information measures associated with fuzzy and intuitionistic fuzzy sets is an important research area from the past few decades. Divergence and entropy are two significant information measures in the intuitionistic fuzzy set (IFS) theory, which have gained wider attention from researchers due to their extensive applications in different areas. In the literature, the existing information measures for IFSs have some drawbacks, which make them irrelevant to use in application areas. In order to obtain more robust and flexible information measures for IFSs, the present work develops and studies some parametric information measures under the intuitionistic fuzzy environment. First, the paper reviews the existing intuitionistic fuzzy divergence measures in detail with their shortcomings and then proposes four new order-α divergence measures between two IFSs. It is worth mentioning that the developed divergence measures satisfy several elegant mathematical properties. Second, we define four new entropy measures called order-α intuitionistic fuzzy entropy measures in order to quantify the fuzziness associated with an IFS. We prove basic and advanced properties of the order-α intuitionistic fuzzy entropy measures for justifying their validity. The paper shows that the introduced measures include various existing fuzzy and intuitionistic fuzzy information measures as their special cases. Further, utilizing the conventional multi-attributive border approximation area comparison (MABAC) model, we develop an intuitionistic fuzzy MABAC method to solve real-life multiple attribute group decision-making problems. Finally, the proposed method is demonstrated by using a practical application of personnel selection.

scholarly journals An Intelligent Group Decision Evaluation Model with Interval-Valued Intuitionistic Fuzzy Entropy Technology for Microblog User Influence

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lihua Zeng ◽  
Tonghua Yang ◽  
Haiping Ren ◽  
Neal Xiong
Keyword(s):  
Social Network ◽  
Group Decision ◽  
Comprehensive Evaluation ◽  
Fuzzy Entropy ◽  
Evaluation Index System ◽  
Intuitionistic Fuzzy ◽  
User Influence ◽  
Intuitionistic Fuzzy Entropy ◽  
The Impact ◽  
Interval Valued

Aiming at the shortcomings of some existing interval-valued intuitionistic fuzzy entropy, this paper proposes an interval-valued intuitionistic fuzzy entropy, which contains not only the interval distance between membership and nonmembership but also the average hesitancy information. On this basis, the impact evaluation of microblog users is studied. Through the multilevel decomposition of user influence, the coverage of microblog, user interaction, and user activity are constructed as the first level indicators, and nine secondary indicators are selected as the comprehensive evaluation index system of microblog influence. Considering the highly dynamic and unstructured characteristics of social network data, the idea of interval-valued intuitionistic fuzzy is introduced to transform the evaluation of social network users’ influence into interval-valued intuitionistic fuzzy multiattribute group decision-making problem. Finally, the model is applied to dynamic evaluation of Sina Weibo users’ influence to verify the effectiveness of the model.

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