An Approach for Study of Traffic Congestion Problem Using Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps-the Case of Indian Traffic
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 relation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2019-12-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | http://fs.unm.edu/NSS/AnApproachForStudyOfTrafficCongestion.pdf |
| Summary: | 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.
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| ISSN: | 2331-6055 2331-608X |