Karush–Kuhn–Tucker conditions for interval and fuzzy optimization in several variables under total and directional generalized differentiability

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2019 English Publisher:Elsevier BVJournal:Fuzzy Sets and Systems, volume 362, pages 1-34 (issn: 0165-0114,

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Authors: Luciano Stefanini; Manuel Arana-Jiménez;

doi: 10.1016/j.fss.2018.04.009

handle: 11576/2659871

Karush–Kuhn–Tucker conditions for interval and fuzzy optimization in several variables under total and directional generalized differentiability

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Abstract

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Related Organizations

University of Urbino
Italy
University of Cádiz
Spain

Keywords

fuzzy directional LgH-derivative, Karush-Kuhn-Tucker optimality conditions, Optimization under uncertainty; Fuzzy valued functions of several variables; gH-differentiability; Fuzzy directional LgH-derivative; Karush–Kuhn–Tucker optimality conditions, Fuzzy real analysis, Fuzzy and other nonstochastic uncertainty mathematical programming, Optimality conditions and duality in mathematical programming, optimization under uncertainty, fuzzy valued functions of several variables, gH-differentiability

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