Necessary and sufficient optimality conditions for nonlinear fuzzy optimization problem

dc.contributor.author	Pathak, V. D.
dc.contributor.author	Pirzada, U. M.
dc.date.accessioned	2017-09-12T11:36:55Z
dc.date.available	2017-09-12T11:36:55Z
dc.date.issued	2011
dc.identifier.uri	http://27.109.7.66:8080/xmlui/handle/123456789/453
dc.description	Sutra: International Journal of Mathematical Science Education © Technomathematics Research Vol. 4 No. 1, pp. 1 - 16, 2011	en_US
dc.description.abstract	In this paper we derive the necessary and sufficient Kuhn-Tucker like optimality conditions for nonlinear fuzzy optimization problems with fuzzy valued objective function and fuzzy-valued constraints using the concept of convexity and Hdiffrentiability of fuzzy-valued functions.	en_US
dc.language.iso	en	en_US
dc.publisher	Technomathematics Research Foundation	en_US
dc.subject	Fuzzy numbers	en_US
dc.subject	Hukuhara differentiability	en_US
dc.subject	Kuhn-Tucker optimality conditions	en_US
dc.title	Necessary and sufficient optimality conditions for nonlinear fuzzy optimization problem	en_US
dc.type	Article	en_US