A model for linguistic partial information in decision-making problems

Miguel Delgado · José Luís Verdegay · M.A. Vila

41 citations0/0 files storedInternational Journal of Intelligent Systems

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Multi-Criteria Decision Making Fuzzy Logic and Control Systems Fuzzy and Soft Set Theory

Abstract

A model is proposed for dealing with decision-making problems in which the decision maker has a vague (linguistically assessed) and incomplete information about results and external factors (a quite usual situation in real decision cases). It is assumed here that utilities are evaluated in a term set of labels and the incomplete information is supposed to be a partial linguistic assignment of probability with values on a term set of linguistic likelihoods. the first step is to discuss a well-fitted interpretation of that model. After that, basic decision rules based on fuzzy risk intervals are developed. Additionally the suitability of considering a hierarchical structure (represented by a tree) for the set of utility labels is analyzed. © 1994 John Wiley & Sons, Inc.

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2007Decision Making in a Fuzzy Environment 1975The concept of a linguistic variable and its application to approximate reasoning—II 1985A review of some methods for ranking fuzzy subsets 1982The use of fuzzy numbers in decision analysis

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