区间值诱导平均聚合算子及其在直觉模糊信息群体决策中的应用

Sujit Das, Megha Rani, T. Pal, S. Kar
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引用次数: 2

摘要

Yager和Filev(1999)引入了诱导有序加权平均算子(induced ordered weighted averaging, IOWA),它是有序加权平均算子(OWA)的广义版本。在IOWA操作符中,参数的顺序是由一个变量诱导的,这个变量称为顺序诱导变量。区间值诱导变量是诱导变量的一种一般形式。利用隶属度函数的子区间和区间值诱导变量,提出了一种称为诱导直觉模糊有序加权平均(I-IFOWA)的聚合算子。然后,我们给出了一种算法方法来证明该算子在多属性群决策问题中的适用性。最后,通过实例对该算法进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interval-Valued Induced Averaging Aggregation Operator and Its Application in Group Decision Making with Intuitionistic Fuzzy Information
Yager and Filev (1999) introduced induced ordered weighted averaging (IOWA) operator which is a generalized version of ordered weighted averaging (OWA) operator. In IOWA operator, the ordering of the arguments is induced by a variable, called the order inducing variable. This paper introduces interval-valued inducing variable which is a general form of inducing variable. This paper also proposes an aggregation operator called induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator using the sub-interval of membership function and interval-valued inducing variable. Then we present an algorithmic approach to show the applicability of the proposed operator in multiple attribute group decision making (MAGDM) problems. Finally the algorithm has been illustrated through a case study.
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