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   Optimality conditions for fuzzy number quadratic programming with fuzzy coefficients  
   
نویسنده zhou x.-g. ,cao b.-y. ,nasseri s.h.
منبع journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
چکیده    The purpose of the present paper is to investigate optimality conditions and duality theory in fuzzy number quadratic programming (fnqp) in which the objective function is fuzzy quadratic function with fuzzy number coefficients and the constraint set is fuzzy linear functions with fuzzy number coefficients. firstly,the equivalent quadratic programming of fnqp is presented by utilizing a linear ranking function and the dual of fuzzy number quadratic programming primal problems is introduced. secondly,we present optimality conditions for fuzzy number quadratic programming. we then prove several duality results for fuzzy number quadratic programming problems with fuzzy coefficients. © 2014 xue-gang zhou et al.
آدرس school of mathematics and information science,key laboratory of mathematics and interdisciplinary sciences of guangdong,guangzhou university,guangzhou,guangdong 510006,china,department of applied mathematics,guangdong university of finance,guangzhou, China, school of mathematics and information science,key laboratory of mathematics and interdisciplinary sciences of guangdong,guangzhou university,guangzhou, China, university of mazandaran, ایران
 
     
   
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