Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment

P. Senthil Kumar
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引用次数: 22

Abstract

When people solve real-life SAP they tend to face the uncertainty state as well as hesitation due to many uncontrollable factors. To deal with uncertainty and hesitation many authors have suggested the intuitionistic fuzzy representation for the data. In this article, the author tried to categorise the SAP under uncertain environment. He formulates the IFSAP and utilizes the TIFN to deal with uncertainty and hesitation. The SAP has uncertainty and hesitation in cost/time/profit/production is known as FIFSAP. The PSK (P. Senthil Kumar) method for finding an optimal solution for FIFAP is extended to solve the FIFSAP and the optimal objective value of FIFSAP is obtained in terms of TIFN. The main advantage of this method is that the optimal solution/assignment of FIFSAP is obtained without using the Hungarian method and intuitionistic fuzzy reduction method. Moreover, the proposed method is computationally very simple and easy to understand. The numerical example is presented to demonstrate computing procedure. The results affirm efficiency of the proposed method.
一种求解直觉模糊环境下实体分配问题的新方法
人们在解决现实生活中的SAP时,往往面临着不确定的状态,以及由于许多不可控因素而产生的犹豫。为了处理不确定性和犹豫,许多作者提出了数据的直觉模糊表示。在本文中,作者试图对不确定环境下的SAP进行分类。他制定了IFSAP,并利用TIFN来处理不确定性和犹豫。SAP在成本/时间/利润/生产方面具有不确定性和犹豫性,称为FIFSAP。将求解FIFAP最优解的PSK (P. Senthil Kumar)方法推广到求解FIFSAP,得到了FIFSAP在TIFN方面的最优目标值。该方法的主要优点是无需使用匈牙利法和直觉模糊约简法,就能得到FIFSAP的最优解/分配。此外,该方法计算简单,易于理解。给出了数值算例,说明了计算过程。结果证实了该方法的有效性。
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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