DocumentCode
3164846
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
fYear
2013
fDate
24-28 June 2013
Firstpage
203
Lastpage
208
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;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608400
Filename
6608400
Link To Document