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- W4205599173 abstract "This chapter presents an introduction to preference modeling realized in terms of binary fuzzy relations. In dealing with <X, R> models, which serve for multiattribute decision-making, a fundamental question arises of how can one construct fuzzy preference relations? In practice, a decision-maker can directly assess fuzzy preference relations. The chapter discusses methods used to analyze problems of multicriteria evaluation, comparison, choice, prioritization, and/or ordering of alternatives. It also discusses questions of constructing fuzzy preference relations from the evaluation of the alternatives on the basis of other preference formats as well as quantitative information. The chapter considers certain transformation functions for converting the preference information from the ordering of the alternatives, utility values, multiplicative preference relations, and nonreciprocal fuzzy preference relations into the additive reciprocal format. It also considers techniques of the analysis of <X, R> models, which are based on the application of the notion of the Orlovsky choice function." @default.
- W4205599173 created "2022-01-25" @default.
- W4205599173 date "2019-11-08" @default.
- W4205599173 modified "2023-09-29" @default.
- W4205599173 title "< <i>X</i> , <i>R</i> > Models of Multicriteria Decision‐Making and Their Analysis" @default.
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- W4205599173 doi "https://doi.org/10.1002/9781119534860.ch5" @default.
- W4205599173 hasPublicationYear "2019" @default.
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