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

Autor:	Sujatha Ramalingam, Kuppuswami Govindan, W.B. Vasantha Kandasamy, Said Broum
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	fuzzy cognitive maps neutrosophic cognitive maps traffic congestion problem connection matrix. Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Neutrosophic Sets and Systems, Vol 30, Pp 273-283 (2019)
Druh dokumentu:	article
ISSN:	2331-6055 2331-608X
DOI:	10.5281/zenodo.3569712
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/1be552395a1f4f7d9c0f9113aa092093 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF