Skip to main navigation Skip to search Skip to main content

The Karush-Kuhn-Tucker optimality conditions for a class of fuzzy optimization problems using strongly generalized derivative

  • University of Colorado Denver
  • Universidad de Tarapacá

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages203-208
Number of pages6
DOIs
StatePublished - 2013
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: 24 Jun 2013 → 28 Jun 2013

Publication series

NameProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Conference

Conference9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Country/TerritoryCanada
CityEdmonton, AB
Period24/06/13 → 28/06/13

Fingerprint

Dive into the research topics of 'The Karush-Kuhn-Tucker optimality conditions for a class of fuzzy optimization problems using strongly generalized derivative'. Together they form a unique fingerprint.

Cite this