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A.A.B/ OPTIMIZATION OF LINEAR OBJECTIVE FUNCTION SUBJECT TO FUZZY RELATION INEQUALITIES CONSTRAINTS WITH MAX-AVERAGE COMPOSITION
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Abstract 
In this paper، the finitely many constraints of a fuzzy relation inequalities problem are studied and the linear objective function on the region defined by a fuzzy max-average operator is optimized. A new simplification technique which accelerates the resolution of the problem by removing the components having no effect on the solution process is given together with an algorithm and a numerical example to illustrate the steps of the problem resolution process

 
نویسنده: E. SHIVANIAN، E. KHORRAM AND A. GHODOUSIAN
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منبع : IRANIAN JOURNAL OF FUZZY SYSTEMS - Vol. 4، No. 2 OCTOBER 2007
تاریخ : OCTOBER 2007
مطالب مرتبط
 
 A.A.B/ USING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE C OF FUZZY CLASSIFICATION SYSTEMS
 A.A.B/ DISTRIBUTED AND COLLABORATIVE FUZZY MODELING
 A.A.B/ NEW CRITERIA FOR RULE SELECTION IN FUZZY LEARNING CLASSIFIER SYSTEMS
 A.A.B/ A PRIMER ON FUZZY OPTIMIZATION MODELS AND METHODS
 A.A.B/ MEASURING SOFTWARE PROCESSES PERFORMANCE BASED ON THE FUZZY MULTI AGENT MEASUREMENTS
 
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