Newly Proposed Matrix Reduction technique Under Mean Ranking Method for Solving Trapezoidal Fuzzy Transportation problems Under Fuzzy Environment

Tekalign Regasa Ashale
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Abstract

In this paper, improved matrix Reduction Method is proposed for the solution of fuzzy transportation problem in which all inputs are taken as fuzzy numbers. Since ranking fuzzy number is important tool in decision making, Fuzzy trapezoidal number is converting in to crisp set by using Mean techniques and solved by proposed method for fuzzy transportation problem. We give suitable numerical example for unbalanced and compare the optimal value with other techniques. The Result shows that the optimum profit of transportation problem using proposed technique under robust ranking method is better than the other method. Novelty: The numerical illustration demonstrates that the new projected method for managing the transportation problems on fuzzy algorithms.
基于平均排序法的矩阵约简新方法求解模糊环境下梯形模糊运输问题
本文提出了求解模糊运输问题的改进矩阵约简方法,其中所有输入均为模糊数。由于模糊数排序是决策的重要工具,利用均值技术将模糊梯形数转化为清晰集,并采用本文提出的方法求解模糊运输问题。给出了不平衡的数值算例,并与其他方法的最优值进行了比较。结果表明,该方法在鲁棒排序法下求解运输问题的最优利润优于其他方法。新颖性:通过数值举例说明了基于模糊算法的交通问题管理的新投影方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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