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Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory

机译:基于直觉模糊软矩阵理论的改进的最大-最小平均组合决策方法

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In this paper a revised Intuitionistic Fuzzy Max-Min Average Composition Method is proposed to construct the decision method for the selection of the professional students based on their skills by the recruiters using the operations of Intuitionistic Fuzzy Soft Matrices. In Shanmugasundaram et al. (2014), Intuitionistic Fuzzy Max-Min Average Composition Method was introduced and applied in Medical diagnosis problem. Sanchez’s approach (Sanchez (1979)) for decision making is studied and the concept is modified for the application of Intuitionistic fuzzy soft set theory. Through a survey, the opportunities and selection of the students with the help of Intuitionistic fuzzy soft matrix operations along with Intuitionistic fuzzy max-min average composition method is discussed.
机译:本文提出了一种改进的直觉模糊最大-最小平均构图方法,构造了基于直觉模糊软矩阵运算的招聘者根据其技能选择专业学生的决策方法。在Shanmugasundaram等。 (2014),引入了直觉模糊最大-最小平均组成法并将其应用于医学诊断问题。研究了Sanchez的决策方法(Sanchez(1979)),并对该概念进行了修改,以应用直觉模糊软集理论。通过调查,讨论了基于直觉模糊软矩阵运算以及直觉模糊最大-最小平均构图方法的学生的机会和选择。

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