基于广义z -模糊软β覆盖的粗糙矩阵及其在基于AHP方法的MAGDM问题中的应用

Q1 Decision Sciences

Decision Making Applications in Management and Engineering Pub Date : 2023-04-15 DOI:10.31181/dmame04012023p

Pavithra Sivaprakasam, Manimaran Angamuthu

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引用次数: 19

摘要

模糊集、粗糙集和软集是主要用于处理不确定性的不同数学工具。将这些理论相结合在决策分析中有着广泛的应用。本文定义了一个基于广义Z-模糊软覆盖的粗糙矩阵。探讨了这个新构造的矩阵的一些代数性质。本文的主要目的是利用基于广义Z-模糊软覆盖的粗糙矩阵，提出一种新的MAGDM模型。建立了一种基于AHP方法的MAGDM算法来招聘某研究所助理教授职位的最佳人选，并通过一个数值例子对该算法进行了验证。

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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Generalized Z-fuzzy soft β-covering based rough matrices and its application to MAGDM problem based on AHP method

Fuzzy, rough, and soft sets are different mathematical tools mainly developed to deal with uncertainty. Combining these theories has a wide range of applications in decision analysis. In this paper, we defined a generalized Z-fuzzy soft -covering-based rough matrices. Some algebraic properties are explored for this newly constructed matrix. The main aim of this paper is to propose a novel MAGDM model using generalized Z-fuzzy soft -covering-based rough matrices. A MAGDM algorithm based on the AHP method is created to recruit the best candidate for an assistant professor job in an institute, and a numerical example is presented to demonstrate the created method.

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来源期刊

Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences

CiteScore

14.40

自引率

0.00%

发文量

审稿时长

14 weeks