毕达哥拉斯模糊有序加权平均聚合算子及其在多属性群决策中的应用

IF 2.3 Q3 MANAGEMENT
K. Rahman , S. Abdullah , A. Ali , F. Amin
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引用次数: 9

摘要

目前工作的目标是双重的。首先,引入了毕达哥拉斯模糊有序加权平均(PFOWA)聚合算子,并给出了该算子的交换性、幂等性、有界性和单调性。最后,将该算子应用于决策问题,验证了该方法的有效性、实用性和有效性。使用该方法的主要优点是与现有方法相比,该方法给出了更准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pythagorean fuzzy ordered weighted averaging aggregation operator and their application to multiple attribute group decision-making

The objective of the present work is twofold. First, Pythagorean fuzzy ordered weighted averaging (PFOWA) aggregation operator is introduced along with its desirable properties, namely commutatively, idempotency, boundedness and monotonicity. Finally, the proposed operator is applied to decision making problems to show the validity, practicality and effectiveness of the new approach. The main advantage of using the proposed method is that this method gives more accurate results as compared to the existing methods.

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来源期刊
CiteScore
2.70
自引率
10.00%
发文量
15
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