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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.
- 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]
- Subjects :
- TRAFFIC congestion
FUZZY measure theory
NEUTROSOPHIC logic
FUZZY logic
Subjects
Details
- Language :
- English
- ISSN :
- 23316055
- Volume :
- 30
- Database :
- Complementary Index
- Journal :
- Neutrosophic Sets & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 140348392