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A novel approach to multi-attribute group decision making based on power neutrality aggregation operator for q-rung orthopair fuzzy sets

机译:基于电源中性聚合运算符的Q-Rung orthopair模糊集的多属性组决策方法

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摘要

In this paper, based on power aggregation (PA) operators, neutrality average and neutrality geometric aggregation operators are proposed. Furthermore, a general score function for g-rung orthopair fuzzy sets (q-ROFSs) is proposed. PA can reduce the impact of excessively high or excessively low arguments. It also emphasizes the inter-relationship between attributes on the decision matrix. PA and neutrality aggregations (NAs) were hybrid with more fair and neutral decisions of the DMs evaluations. Also, neutrality aggregation operator provides reliable results by taking into account neutrality among decision-makers. On the one hand, through its dynamic structure, q-ROFSs provide a wider evaluation for decision-makers (DMs). q-ROFSs include many fuzzy sets with varying q > 1 parameters. One of the most important parts of multi-attribute group decision-making problems is that DMs do not take into account their bias. On the other hand, the NA operator evaluates the decisions of the DMs from a neutral attitude perspective. The power neutrality ag-gregation operator proposed in this study produces more objective results. The proposed operator is more consistent with the advantages of both operators and it deals with the attitude of DMs more objectively. Validity tests are applied to the proposed methods. Also, the superior aspects of the proposed methods are demonstrated by numerical ex-amples. As a result of validity tests and comparisons with other studies in the literature, it is seen that the proposed methods give effective results.
机译:本文基于功率聚合(PA)运算符,提出了中立平均和中立性聚集运算符。此外,提出了G-RONG矫正模糊组(Q-ROFS)的一般得分函数。 PA可以降低过度高或过低参数的影响。它还强调了决策矩阵上的属性之间的关系。 PA和中立汇总(NAS)是杂种,具有更公平和中立的DMS评估的决定。此外,中立汇总运营商通过在决策者之间考虑中立性,提供可靠的结果。一方面,通过其动态结构,Q-Rofs为决策者(DMS)提供了更广泛的评估。 Q-Rofs包括许多具有不同Q> 1参数的模糊组。多属性组决策问题中最重要的部分之一是DMS不会考虑其偏见。另一方面,NA操作员从中立态度的角度评估DMS的决定。本研究提出的电力中性AG-Gregation操作员会产生更多客观的结果。建议的操作员更符合两个运营商的优点,并且它更加客观地处理DMS的态度。有效性测试应用于所提出的方法。而且,通过数值前阿比倍数证明了所提出的方法的优异方面。由于有效性测试和与文献中的其他研究的比较,可以看出所提出的方法具有有效的结果。

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