A note on "A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem"

被引：15

作者：

Bhardwaj, Bindu ^{[1
]}

Kumar, Amit ^{[2
]}

机构：

[1] Thapar Univ, LM Thapar Sch Management, Patiala 147004, Punjab, India

[2] Thapar Univ, Sch Math & Comp Applicat, Patiala 147004, Punjab, India

来源：

APPLIED MATHEMATICAL MODELLING | 2015年 / 39卷 / 19期

关键词：

Fully fuzzy; Linear programming problem;

D O I：

10.1016/j.apm.2014.07.033

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Ezzati et al. (2013) proposed a method for comparing triangular fuzzy numbers and using it, propose a new algorithm to find the fuzzy optimal solution of fully fuzzy linear programming problems with equality constraints. Ezzati et al. also claimed that the fuzzy optimal solution of fully fuzzy linear programming problems with inequality constraints can also be obtained by the same algorithm by transforming it into fully fuzzy linear programming problems with equality constraints. In this note, it is proved that the fully fuzzy linear programming problems with inequality constraints cannot be transformed into fully fuzzy linear programming problems with equality constraints and hence, the algorithm, proposed by Ezzati et al. to find the fuzzy optimal solution of fully fuzzy linear programming problems with equality constraints, cannot be used for finding the fuzzy optimal solution of fully fuzzy linear programming problems with inequality constraints. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：5982 / 5985

页数：4