Abstract
In some MCDM techniques — most notably in Outranking Methods — the result of the comparison of a finite set of alternatives according to several criteria is summarized using a fuzzy preference relation. This fuzzy relation does not, in general, possess “nice properties” such as transitivity or completeness and elaborating a recommendation on the basis of such information is not an obvious task. The purpose of this paper is to study techniques exploiting fuzzy preference relations in order to choose or rank. We present a number of results concerning techniques based on the “min in Favor” score, i.e. the minimum level with which an alternative is “at least as good as” all other alternatives.
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© 1997 Springer-Verlag Berlin Heidelberg
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Bouyssou, D., Pirlot, M. (1997). Choosing and Ranking on the Basis of Fuzzy Preference Relations with the “Min in Favor”. In: Fandel, G., Gal, T. (eds) Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59132-7_13
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DOI: https://doi.org/10.1007/978-3-642-59132-7_13
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