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A decision-making methodology based on the weighted correlation coefficient in weighted extended hesitant fuzzy environments

机译:一种基于加权延伸的鲁钝模糊环境的加权相关系数的决策方法

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摘要

Correlation is an important index in decision-making. In weighted extended hesitant fuzzy sets (WEHFSs) environment, researchers have only defined a class of correlation coefficients between WEHFSs with values in the unit interval [0,1]. This is not ideal because it does not extend the classical correlation coefficient in the case of classical sets. In fact, the negative values of the interval [-1,1] are ignored, and such neglectful-ness leads to unreasonable results in decision-making. In other words, the existing definitions are unconvincing and lack consistency, which hinder their application potentials. This article addresses this issue by introducing a new class of weighted correlation coefficients of WEHFSs with values in the interval [-1,1]. Three decision-making methodologies based on the weighted correlation coefficients of WEHFSs are compared with the existing methodologies based on their respective correlation coefficients in the unit interval [0,1]. The comparative analysis shows both the efficiency and effectiveness of the new correlation index.
机译:相关性是决策中的重要指标。在加权扩展犹豫不决的模糊集(WEHFSS)环境中,研究人员仅在单位间隔中的值之间定义了WeHF之间的一类相关系数[0,1]。这不是理想的,因为它在古典集的情况下它不会扩展经典相关系数。实际上,忽略了间隔[-1,1]的负值,这种疏忽导致决策的不合理导致。换句话说,现有的定义是令人难以理解的,缺乏一致性,阻碍了他们的应用潜力。本文通过在间隔[-1,1]中引入具有值的WeHFS的新类加权关联系数来解决此问题。将基于WeHFS的加权相关系数的三种决策方法与本机间隔中的各自相关系数的现有方法进行比较[0,1]。比较分析表明了新相关指数的效率和有效性。

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