图片模糊爱因斯坦几何聚集算子及其在多属性决策中的应用

K. Deva, S. Mohanaselvi
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引用次数: 0

摘要

图像模糊集能有效地处理给定信息中的不确定性,在决策中有多种用途。聚合操作符在评估提供的备选方案的决策过程中特别有用,它们的目标是将所有离散的评估值组合成统一的形式。利用爱因斯坦t模和t保形,构造了一个图像模糊爱因斯坦加权几何聚合算子和图像模糊爱因斯坦加权几何交互聚合算子。本研究对推荐经营者的各方面进行了考察。然后,我们将所提出的算子用于解决图像模糊多属性决策问题,并与已有文献进行比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Picture fuzzy Einstein geometric aggregate Operators and their Application to Multiple Attribute Decision Making
A picture fuzzy set effectively deals with uncertainties present in a given information and it has several uses in decision-making. Aggregation operators are particularly useful in the decision-making process for evaluating provided alternatives, and their goal is to combine all of the discrete evaluation values into a unified form. In this article, a picture fuzzy Einstein weighted geometric aggregate operator and Picture fuzzy Einstein weighted geometric interactive aggregate operator are developed by using Einstein t-norms and t-conorms. The recommended operators' various aspects are investigated in this research. Then, we are using the proposed operators to solve the picture fuzzy multiple attribute decision making problem as well as a comparative study with the existing literature.
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