An approach for solving a fuzzy multiobjective programming problem

•We present an approach for solving a fuzzy multiobjective program.•It is based on the Nearest Interval Approximation (NIA) Operator.•K.K.T like conditions of efficiency have been obtained for the resulting program.•To solve our problem, we first replace fuzzy values by their NIA counterparts.•After...

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Veröffentlicht in:	European journal of operational research Jg. 232; H. 2; S. 249 - 255
Hauptverfasser:	Luhandjula, M.K., Rangoaga, M.J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 16.01.2014 Elsevier Sequoia S.A
Schlagworte:	Algorithms Approximation Fuzzy logic Fuzzy numbers Fuzzy set theory gH-differentiability Goal programming K.K.T conditions Mathematical analysis Mathematical functions Mathematical problems Mathematical programming Multiobjective programming Multiple objective Nearest interval approximation Operational research Pareto optimality Pareto optimum Studies Pareto optimality Nearest interval approximation K.K.T conditions gH-differentiability Fuzzy numbers Multiobjective programming
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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