Open AccessM-generalised q-neutrosophic extension of CoCoSo method
Author(s) -
Zeas Turskis,
Romualdas Baušys,
Florentín Smarandache,
Girūta Kazakevičiūtė-Januškevičienė,
Edmundas Kazimieras Zavadskas
Publication year - 2022
Publication title -
international journal of computers, communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2022.1.4646
Subject(s) - vagueness , multiple criteria decision analysis , extension (predicate logic) , computer science , field (mathematics) , selection (genetic algorithm) , fuzzy logic , cover (algebra) , popularity , fuzzy set , data mining , operations research , artificial intelligence , mathematics , engineering , psychology , social psychology , mechanical engineering , pure mathematics , programming language
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.