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Another View of Aggregation Operators on Group-Based Generalized Intuitionistic Fuzzy Soft Sets: Multi-Attribute Decision Making Methods

机译:基于组的广义直觉模糊软集上的聚合算子的另一种观点:多属性决策方法

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In this paper, the existing definition of the group-based generalized intuitionistic fuzzy soft set is clarified and redefined by merging intuitionistic fuzzy soft set over the set of alternatives and a group of intuitionistic fuzzy sets on parameters. In this prospect, two new subsets of the group-based generalized intuitionistic fuzzy soft set are proposed and several operations are contemplated. The two new aggregation operators called generalized group-based weighted averaging and generalized group-based weighted geometric operator are introduced. The related properties of proposed operators are discussed. The recent research is emerging on multi-attribute decision making methods based on soft sets, intuitionistic fuzzy soft sets, and generalized intuitionistic fuzzy soft sets. An algorithm is structured and two case studies of multi-attribute decision makings are considered using proposed operators. Further, we provide the comparison and advantages of the proposed method, which give superiorities over recent major existing methods.
机译:在本文中,通过将直觉模糊软集与参数集和一组直觉模糊集合并,澄清并重新定义了基于组的广义直觉模糊软集的定义。在此前景中,提出了基于组的广义直觉模糊软集的两个新子集,并考虑了几种操作。介绍了两个新的聚合运算符,分别称为广义基于组的加权平均和广义基于组的加权几何运算。讨论了建议的算子的相关属性。基于软集,直觉模糊软集和广义直觉模糊软集的多属性决策方法的最新研究正在涌现。构建了一种算法,并使用建议的算子对两个多属性决策制定案例进行了研究。此外,我们提供了所提出方法的比较和优点,这些优点与现有的主要方法相比具有优越性。

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