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

Authors :
Ramalingam, Sujatha
Govindan, Kuppuswami
Kandasamy, W. B. Vasantha
Broumi, Said
Source :
Neutrosophic Sets & Systems; 2019, Vol. 30, p273-283, 11p
Publication Year :
2019

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23316055
Volume :
30
Database :
Complementary Index
Journal :
Neutrosophic Sets & Systems
Publication Type :
Academic Journal
Accession number :
140348392