An Approach for Study of Traffic Congestion Problem Using Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps-the Case of Indian Traffic

被引：0
|
作者：
Ramalingam S. [1 ]
Govindan K. [2 ]
Vasantha Kandasamy W.B. [3 ]
Broumi S. [4 ]
机构：
[1] Department of Mathematics, SSN College of Engineering, Chennai
[2] Department of Mathematics, Sri Venkateswaraa College of Technology, Chennai
[3] Department of Mathematics, School of Computer Science and Engineering, VIT University
[4] Faculty of Science Ben M’Sik, University Hassan II, Casablanca
来源：
Neutrosophic Sets and Systems | 2019年 / 30卷
关键词：
Connection matrix; Fuzzy Cognitive Maps; Neutrosophic Cognitive Maps; Traffic congestion problem;
D O I：
10.5281/zenodo.3569712
中图分类号：
学科分类号：
摘要：
The aim of this paper is to find the reasons for traffic congestion problem and its solution using Neutrosophic Cognitive Maps (NCMs) and Fuzzy Cognitive Maps (FCMs). Fuzzy theory only measures the grade of membership but fuzzy theory has failed to characteristic the perception when the relations between concepts in problems are indeterminate. Addition of concepts of indeterminate situation with fuzzy logic forms the neutrosophic logic. Since, some of the reasons for traffic congestions are indeterminate we use Neutrosophic Cognitive Maps to find a solution. The discussion is based on Indian road scenario. © 2019
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页码：273 / 283
页数：10
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