首页> 外文期刊>Journal of multiple-valued logic and soft computing >Group Decision Making Approach Based on Possibility Degree Measures and the Linguistic Intuitionistic Fuzzy Aggregation Operators Using Einstein Norm Operations
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Group Decision Making Approach Based on Possibility Degree Measures and the Linguistic Intuitionistic Fuzzy Aggregation Operators Using Einstein Norm Operations

机译:基于可能度测度和语言直觉模糊集合算子的基于爱因斯坦范数运算的群体决策方法

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The objective of this manuscript is to present a group decision mak mg approach under the linguistic intuitionistic fuzzy (LIF) set environment. Under this, we propose a new ranking method named as possibility degree measures to compare the different LIF numbers. Further, in order to aggregate the different LIF numbers, some weighted and ordered weighted averaging aggregation operators is proposed by using Einstein t-norm operations. The prominent characteristics of these operators arc also investigated. Afterwards, a multi attribute group decision making (MAGDM) approach, based on proposed operators and the possibility degree measure, is developed under the LIFSs environment. A numerical case is taken to manifest the practicability and feasibility of the proposed group decision making method.
机译:该手稿的目的是提出一种在语言直觉模糊(LIF)设置环境下的群体决策决策方法。在此之下,我们提出了一种新的排序方法,称为可能性程度度量,以比较不同的LIF数量。此外,为了聚合不同的LIF数,通过使用Einstein t-norm运算,提出了一些加权和有序加权平均聚合算子。这些操作员的突出特征也得到了调查。此后,在LIFSs环境下,基于提议的算子和可能性程度度量,开发了一种多属性组决策(MAGDM)方法。数值算例表明了所提出的群体决策方法的实用性和可行性。

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