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|Type:||Artigo de periódico|
|Title:||The use of possibility theory in the definition of fuzzy Pareto-optimality|
|Abstract:||Pareto-optimality conditions are crucial when dealing with classic multi-objective optimization problems. Extensions of these conditions to the fuzzy domain have been discussed and addressed in recent literature. This work presents a novel approach based on the definition of a fuzzily ordered set with a view to generating the necessary conditions for the Pareto-optimality of candidate solutions in the fuzzy domain. Making use of the conditions generated, one can characterize fuzzy efficient solutions by means of carefully chosen mono-objective problems and Karush-Kuhn-Tucker conditions to fuzzy non-dominated solutions. The uncertainties are inserted into the formulation of the studied fuzzy multi-objective optimization problem by means of fuzzy coefficients in the objective function. Some numerical examples are analytically solved to illustrate the efficiency of the proposed approach.|
Fuzzy Pareto-optimality conditions
|Citation:||Fuzzy Optimization And Decision Making. Springer, v. 10, n. 1, n. 11, n. 30, 2011.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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