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Using a minimal fuzzy covering in decision-making problems
Authors:Gia Sirbiladze  Bezhan Ghvaberidze  Temur Latsabidze  Bidzina Matsaberidze
Affiliation:Department of Computer Sciences, I. Javakhishvili Tbilisi State University, 2, University St., Tbilisi 0143, Georgia
Abstract:A new criterion is introduced for minimal fuzzy covering problems, which is a minimal value of the average misbelief contained in the possible alternatives. A bicriteria problem is obtained using this new criterion and the criterion of covering price minimization. The proposed approach is illustrated by an example.
Keywords:Minimal fuzzy covering  Possibility analysis  Positive and negative discrimination measures  Average misbelief criterion  Fuzzy discrete optimization  Bicriterion problem  Pareto solution  Linear convolution
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