Solving fuzzy linear programming problems with linear membership functor-revisited

Document Type: Research Articles


Department of Mathematics, Quchan Institute of Engineering and Technology, Iran


Recently, Gasimov and Yenilmez proposed an approach for solving two kinds
of fuzzy linear programming (FLP) problems. Through the approach, each FLP
problem is first defuzzified into an equivalent crisp problem which is non-linear
and even non-convex. Then, the crisp problem is solved by the use of the modified
subgradient method. In this paper we will have another look at the earlier
defuzzification process developed by Gasimov and Yenilmez in view of a perfectly
acceptable remark in fuzzy contexts. Furthermore, it is shown that if the
modified defuzzification process is used to solve FLP problems, some interesting
results are appeared.