Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers
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Date
2014-4-22
Authors
Sidhu, Sukhpreet Kaur
Kumar, Amit
Appadoo, S. S.
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Abstract
The drawbacks of the existing methods to obtain the fuzzy optimal solution of such linear programming problems, in which coefficients of the constraints are represented by real numbers and all the other parameters as well as variables are represented by symmetric trapezoidal fuzzy numbers, are pointed out, and to resolve these drawbacks, a new method (named as Mehar method) is proposed for the same linear programming problems. Also, with the help of proposed Mehar method, a new method, much easy as compared to the existing methods, is proposed to deal with the sensitivity analysis of the same type of linear programming problems.
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Sukhpreet Kaur Sidhu, Amit Kumar, and S. S. Appadoo, “Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers,” Mathematical Problems in Engineering, vol. 2014, Article ID 697085, 8 pages, 2014. doi:10.1155/2014/697085