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首页> 外文期刊>International journal of fuzzy system applications >Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment
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Developing a New Approach to Solve Solid Assignment Problems Under Intuitionistic Fuzzy Environment

机译:制定一种解决直觉模糊环境下解决实心分配问题的新方法

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摘要

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.
机译:当人们解决现实生活中的SAP时,由于许多无法控制的因素,它们往往面临不确定性状态以及犹豫。为了应对不确定性和犹豫,许多作者提出了数据的直觉模糊代表。在本文中,作者试图在不确定的环境下对SAP进行分类。他制定IFSAP并利用TIFN处理不确定性和犹豫。 SAP具有不确定性,并且在成本/时间/利润/生产中犹豫被称为FIFSAP。用于查找FIFAP的最佳解决方案的PSK(P. Senthil Kumar)方法延伸以解决FIFSAP,并且在TIFN方面获得FIFSAP的最佳目标值。该方法的主要优点是获得FIFSAP的最佳解决方案/分配而不使用匈牙利方法和直觉模糊还原方法。此外,所提出的方法是计算方式非常简单且易于理解。提出了数值示例以演示计算过程。结果确认了所提出的方法的效率。

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