Solving fully fuzzy linear programming with symmetric trapezoidal fuzzy numbers using Mehar’s method

Abbas Hatami, Hamed Kazemipoor

Abstract


Recently, Kumar and Kaur (2011) proposed a new method, named as Mehar’s method, for solving fuzzy linear programming problem in which the element of coefficient matrix of the constrains are represented by real number and rest of the parameters are represented by fuzzy number, with converting to the classical linear programming problem. In this paper, we adopt this method for solving fully fuzzy linear programming problem (FFLPP) involving symmetric trapezoidal fuzzy numbers including both equality and inequality constraints. By using the proposed method the fuzzy optimal solution of FFLPP, occurring in real life situation, can be easily obtained. To illustrate the proposed method numerical examples are solved.

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How to Cite this Article:

Abbas Hatami, Hamed Kazemipoor, Solving fully fuzzy linear programming with symmetric trapezoidal fuzzy numbers using Mehar’s method, Journal of Mathematical and Computational Science, Vol 4, No 2 (2014), 463-470

Copyright © 2014 Abbas Hatami, Hamed Kazemipoor. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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