Department of Mathematics, Quchan Institute of Engineering and Technology, Iran
Abstract
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.
Farhadinia, B. (2014). Solving fuzzy linear programming problems with linear membership functor-revisited. Caspian Journal of Mathematical Sciences, 3(2), 317-328.
MLA
B. Farhadinia. "Solving fuzzy linear programming problems with linear membership functor-revisited", Caspian Journal of Mathematical Sciences, 3, 2, 2014, 317-328.
HARVARD
Farhadinia, B. (2014). 'Solving fuzzy linear programming problems with linear membership functor-revisited', Caspian Journal of Mathematical Sciences, 3(2), pp. 317-328.
VANCOUVER
Farhadinia, B. Solving fuzzy linear programming problems with linear membership functor-revisited. Caspian Journal of Mathematical Sciences, 2014; 3(2): 317-328.
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