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Power Geometric Aggregation Operators Based on Connection Number of Set Pair Analysis Under Intuitionistic Fuzzy Environment

机译:直觉模糊环境下基于集对分析连接数的幂几何集合算子

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The objective of the presented paper is to develop a multiattribute decision-making (MADM) method under the intuitionisticfuzzy set (IFS) environment using the set pair analysis (SPA) theory. IFS can express the uncertain information in terms ofmembership grades, while the connection number (CN) based on the “identity,” “discrepancy” and “contrary” degrees of theSPA theory handles the uncertainties and certainties systems.Meanwhile, capturing the relationship between the values duringthe aggregation is a prominent advantage of the power aggregation operator. Motivated by these primary characteristics, inthis paper, we develop some power geometric aggregation operators namely for aggregating the CNs, namely, CN powergeometric, CN weighted power geometric and CN ordered weighted power geometric operators. A few properties likeidempotency, commutativity and boundedness are established to show the viability and legitimacy of developed operators.Afterward, we develop a decision-making (DM) approach based on the proposed operators for tackling the MADM issuesunder the intuitionistic fuzzy numbers environment. Finally, real-life case ofMADM problem has been discussed to manifestthe developed DM approach, and obtained results are compared with the results that are obtained by the existing DMmethodsfor showing the feasibility and validity of the developed DM approach.
机译:本文的目的是使用集对分析(SPA)理论在直觉模糊集(IFS)环境下开发一种多属性决策(MADM)方法。 IFS可以根据成员级别来表达不确定性信息,而基于SPA理论的“同一性”,“差异”和“相反”程度的连接数(CN)则可以处理不确定性和确定性系统。聚合期间的值是电源聚合算子的显着优势。基于这些主要特征,本文开发了一些幂几何聚合算子,用于聚合CN,即CN powergeometric,CN加权幂几何和CN有序加权幂几何算子。建立了幂等性,可交换性和有界性等一些属性,以显示发达算子的可行性和合法性。然后,我们在直觉模糊数环境下,基于提出的算子开发了一种决策(DM)方法,以解决MADM问题。最后,讨论了MADM问题的真实案例,以证明所开发的DM方法的可行性,并将所得结果与现有DM方法获得的结果进行比较,以证明该DM方法的可行性和有效性。

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