Title :
The Karush-Kuhn-Tucker optimality conditions for a class of fuzzy optimization problems using strongly generalized derivative
Author :
Chalco-Cano, Yurilev ; Lodwick, W.A. ; Roman-Flores, Heriberto
Author_Institution :
Inst. de Alta Investig., Univ. de Tarapaca, Arica, Chile
Abstract :
In this paper we consider optimization problems with fuzzy-valued objective function. For this class of fuzzy optimization problems we obtain Karush-Kuhn-Tucker type optimality conditions considering the concept of strongly generalized differentiable fuzzy-valued functions.
Keywords :
fuzzy set theory; optimisation; Karush-Kuhn-Tucker type optimality conditions; differentiable functions; fuzzy optimization problems; fuzzy-valued objective function; strongly generalized derivative; Differential equations; Fuzzy sets; Linear programming; Mathematical programming; Measurement; Programming;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608400
