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Position Papers of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 36

Multi-Criteria Decision-Making by Approximation in the Domain of Linguistic Values

DOI: http://dx.doi.org/10.15439/2023F4728

Citation: Position Papers of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 36, pages 97–102 ()

Full text

Abstract. This paper presents a method of determining the best solution (alternative) with respect to a subset of fuzzy criteria. We apply two kinds of alternatives in the process of decision-making. The best solution will be selected from a (large) universe of (real) alternatives. Their membership degrees in the linguistic values of all fuzzy criteria will be assessed by an expert. A (small) set of (imaginary) reference alternatives is generated according to the expectations of a decision-maker, who assigns membership degrees in preferred linguistic values of each fuzzy criterion. We define the notion of approximation of a reference alternative by a real alternative in the domain of linguistic values of a criterion, and introduce a measure of compatibility of the real alternative with the reference alternative. In evaluation of the real alternatives the weights of criteria are taken into account.

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