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首页> 外文期刊>Mathematical Problems in Engineering >Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers
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Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers

机译：具有对称梯形模糊数的模糊线性规划的Mehar方法及其最优解的敏感性分析

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摘要

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.
机译：指出了获得此类线性规划问题的模糊最优解的现有方法的缺点，其中约束的系数由实数表示，所有其他参数以及变量由对称梯形模糊数表示，为了解决这些缺点，针对相同的线性规划问题，提出了一种新的方法（称为Mehar方法）。此外，借助提出的Mehar方法，提出了一种比现有方法容易得多的新方法来处理相同类型线性规划问题的敏感性分析。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|697085.1-697085.8|共8页
  • 作者

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

  • 作者单位

    School of Mathematics and Computer Applications, Thapar University, Patiala, Punjab 147004, India;

    School of Mathematics and Computer Applications, Thapar University, Patiala, Punjab 147004, India;

    Department of Supply Chain Management, University of Manitoba, Winnipeg, MB, Canada R3T2N2;

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