4.7 Article

Mehar's method for solving fully fuzzy linear programming problems with L-R fuzzy parameters

期刊

APPLIED MATHEMATICAL MODELLING
卷 37, 期 12-13, 页码 7142-7153

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2013.01.040

关键词

Fuzzy linear programming; Fuzzy optimal solution; Ranking function; Fuzzy numbers

资金

  1. UGC under MANF Scheme

向作者/读者索取更多资源

To the best of our knowledge, there is no method in literature for solving such fully fuzzy linear programming (FLP) problems in which some or all the parameters are represented by unrestricted L-R flat fuzzy numbers. Also, to propose such a method, there is need to find the product of unrestricted L-R flat fuzzy numbers. However, there is no method in the literature to find the product of unrestricted L-R flat fuzzy numbers. In this paper, firstly the product of unrestricted L-R flat fuzzy numbers is proposed and then with the help of proposed product, a new method (named as Mehar's method) is proposed for solving fully FLP problems. It is also shown that the fully FLP problems which can be solved by the existing methods can also be solved by the Mehar's method. However, such fully FLP problems in which some or all the parameters are represented by unrestricted L-R flat fuzzy numbers can be solved by Mehar's method but can not be solved by any of the existing methods. (C) 2013 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据