Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers | Zendy

Sukhpreet Kaur Sidhu | Zendy; Amit Kumar | Zendy; S. S. Appadoo | Zendy

Open Access

Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers

Author(s) -

Sukhpreet Kaur Sidhu,

Amit Kumar,

S. S. Appadoo

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/697085

Subject(s) - linear programming , fuzzy number , fuzzy logic , mathematics , mathematical optimization , sensitivity (control systems) , algorithm , computer science , fuzzy set , artificial intelligence , engineering , electronic engineering

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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