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The consensus measure based on multiplicatively consistent fuzzy preference relations

机译:基于可乘一致模糊偏好关系的共识度量

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摘要

We study the consensus measure of fuzzy preference relation (FPR) based on multiplicative consistency. We propose a consensus measure by computing the distance between the original collective judgment and the optimal collective estimation. We show that the optimal FPRs are helpful in measuring the consistency degree of individual judgment and the consensus degree of collective judgment.
机译:我们研究了基于乘性一致性的模糊偏好关系(FPR)的一致性测度。通过计算原始集体判断与最佳集体估计之间的距离,我们提出了一种共识度量。我们表明,最佳FPR有助于衡量个人判断的一致性程度和集体判断的共识程度。

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