On solving fully fuzzy linear programming problems
محل انتشار: نهمین کنفرانس بین المللی اطلاعات و مهندسی فازی
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 14
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شناسه ملی سند علمی:
ICFIAE09_004
تاریخ نمایه سازی: 29 مرداد 1405
چکیده مقاله:
In this article, we focus on a general model of fuzzy linear programming which all parameters are a kind of fuzzy numbers. As we know, there are a few approach in the literature to solve these problem. Here, we are going to first give a general classification of all fuzzy linear programming models and then investigate fully fuzzy linear programming problems. In particular, we present a new method for solving Fully Fuzzy Linear Programming (FFLP) problems. Although, it has been considered and expanded from many various points of view in more than a decade, but still it is useful to develop new procedures to present better fit into real world problems as much as possible. After introducing FFLP, we propose a new method to solve these kinds of problems. The method is based on the definition of membership function and using the convenient techniques for solving the classical multi-objective programming. We will explore some shortcomings of the exist approaches and then give a new approach to overcome these problems.
کلیدواژه ها:
Fully fuzzy linear programming ، Fuzzy number ، Multi objective linear program ، Membership function
نویسندگان
F. Vanoushbandpey
Department of Mathematics, University of Mazandaran, Babolsar, Iran
Z. Saeidi
Department of Mathematics, University of Mazandaran, Babolsar, Iran