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Proceedings of the 17th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 30

Multi-Criteria Decision-Making with Linguistic Labels


DOI: http://dx.doi.org/10.15439/2022F218

Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 263267 ()

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Abstract. This paper proposes an approach that is suitable for solving multi-criteria decision-making problems that are characterized by fuzzy (subjective) criteria.A finite set (universe) of alternatives will be expressed as a decision table that represents a fuzzy information system, in which every fuzzy criterion is connected with a set of its linguistic values. We apply subjective preference degrees for linguistic values that should be provided by a decision-maker. To simplify the process of decision-making in big data environments, an additional stage will be introduced that can produce a smaller set of alternatives represented by fuzzy linguistic labels of similarity classes. We select a small set of similarity classes for a final ranking. A measure of compatibility will be defined that should express the accordance of a selected alternative with preferences given for the linguistic values of a particular fuzzy criterion.


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