weak and strong duality theorems for fuzzy conic optimization problems

نویسندگان

b. farhadinia

a. v. kamyad

چکیده

the objective of this paper is to deal with the fuzzy conic program- ming problems. the aim here is to derive weak and strong duality theorems for a general fuzzy conic programming. toward this end, the convexity-like concept of fuzzy mappings is introduced and then a speci c ordering cone is established based on the parameterized representation of fuzzy numbers. un- der this setting, duality theorems are extended from crisp conic optimization problems to fuzzy ones.

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عنوان ژورنال:
iranian journal of fuzzy systems

ناشر: university of sistan and baluchestan

ISSN 1735-0654

دوره 10

شماره 1 2013

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