شماره ركورد كنفرانس :
3835
عنوان مقاله :
Solving Intuitionistic Fuzzy Linear Programming Using OS method Of Intuitionistic Fuzzy Reasoning And Genetic Algorithm
پديدآورندگان :
Esmaeili Mahin Department of Applied Mathematics, Faculty of Mathmatics and Computer, Shahid Bahonar University of Kerman, Iran , Eslami Esfandiar Department of Applied Mathematics, Faculty of Mathmatics and Computer, Shahid Bahonar University of Kerman, Iran
كليدواژه :
intuitionistic fuzzy linear programming , similarity measure , intuitionistic fuzzy reasoning , genetic algorithm
عنوان كنفرانس :
اولين كنفرانس بين المللي مديريت، نوآوري و توليد ملي
چكيده فارسي :
In this paper, we propose a new method for intuitionistic fuzzy linear programming (IFLP) with intutionistic fuzzy coefficients and intuitionistic fuzzy equality relations. We consider (IFLP) problem as a rule-base system and utilize the method of optimizing the similarity (OS method for short) of truth table in intuitionistic fuzzy reasoning and design a genetic algorithm (GA) for solving it. Finally, a numerical example is given to verify the efficiency of the proposed method
