M-generalised q-neutrosophic extension of CoCoSo method

Autor:	Edmundas Kazimieras Zavadskas, Giruta Kazakeviciute-Januskeviciene, Florentin Smarandache, Romualdas Bausys, Zenonas Turskis
Rok vydání:	2022
Předmět:	Computational Theory and Mathematics Computer Networks and Communications Computer Science Applications
Zdroj:	INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 17
ISSN:	1841-9844 1841-9836
DOI:	10.15837/ijccc.2022.1.4646
Popis:	Nowadays fuzzy approaches gain popularity to model multi-criteria decision making (MCDM) problems emerging in real-life applications. Modern modelling trends in this field include evaluation of the criteria information uncertainty and vagueness. Traditional neutrosophic sets are considered as the effective tool to express uncertainty of the information. However, in some cases, it cannot cover all recently proposed cases of the fuzzy sets. The m-generalized q-neutrosophic sets (mGqNNs) can effectively deal with this situation. The novel MCDM methodology CoCoSomGqNN is presented in this paper. An illustrative example presents the analysis of the effectiveness of different retrofit strategy selection decisions for the application in the civil engineering industry.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a95884f21c4bf2b6c2260376624ee780 https://doi.org/10.15837/ijccc.2022.1.4646 Zobrazit plný text záznamu