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Interval-Valued Atanassov Intuitionistic Fuzzy CODAS Method for Multi Criteria Group Decision Making Problems

机译:多准则群决策问题的区间值Atanassov直觉模糊CODAS方法

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The paper presents a fuzzy extension of CODAS (COmbinative Distance-Based ASsessment) method which is called as interval-valued Atanassov intuitionistic fuzzy CODAS (IVAIF-CODAS) method for group decision making processes. The extended method considers interval-valued Atanassov intuitionistic fuzzy sets (IVAIFSs) to define the judgements of decision-makers and uses interval-valued Atanassov intuitionistic fuzzy weighted aggregation operator to aggregate the evaluations of decision makers. Due to the abilities of IVAIFS in modeling of uncertainty, the extended method can be readily applied to many decision problems under fuzzy circumstances. In the study, a personnel selection problem is handled to show applicability of the IVAIF-CODAS method. Computational analysis is performed by using three different well-known IVAIF-based multi criteria group decision making (MCGDM) methods in order to test the stability and validity of the outputs. The proposed method is an easy to use and an effective tool in terms of producing as robust results as other methods and requiring relatively less effort.
机译:本文提出了一种基于CODAS(基于距离的联合评估)方法的模糊扩展方法,该方法被称为区间值Atanassov直觉模糊CODAS(IVAIF-CODAS)方法,用于群体决策过程。扩展方法考虑区间值的Atanassov直觉模糊集(IVAIFS)来定义决策者的判断,并使用区间值的Atanassov直觉模糊加权聚合算子来汇总决策者的评估。由于IVAIFS具有不确定性建模的能力,因此该扩展方法可以很容易地应用于模糊情况下的许多决策问题。在研究中,人员选择问题得到了处理,以显示IVAIF-CODAS方法的适用性。为了测试输出的稳定性和有效性,使用三种不同的基于IVAIF的众所周知的多标准组决策方法(MCGDM)进行了计算分析。就产生与其他方法一样强大的结果并且需要相对较少的努力而言,所提出的方法是一种易于使用且有效的工具。

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