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Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group

机译:直觉和区间值直觉模糊偏好关系及其相似性度量,用于评估组内的一致性

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摘要

Szmidt and Kacprzyk (Lecture Notes in Artificial Intelligence 3070:388–393, 2004a) introduced a similarity measure, which takes into account not only a pure distance between intuitionistic fuzzy sets but also examines if the compared values are more similar or more dissimilar to each other. By analyzing this similarity measure, we find it somewhat inconvenient in some cases, and thus we develop a new similarity measure between intuitionistic fuzzy sets. Then we apply the developed similarity measure for consensus analysis in group decision making based on intuitionistic fuzzy preference relations, and finally further extend it to the interval-valued intuitionistic fuzzy set theory.
机译:Szmidt和Kacprzyk(《人工智能讲义》 3070:388–393,2004a)引入了一种相似性度量,该度量不仅考虑了直觉模糊集之间的纯距离,而且还检查了比较值是否彼此更相似或更相似。其他。通过分析这种相似性度量,我们发现在某些情况下有些不便,因此我们在直觉模糊集之间开发了一种新的相似性度量。然后,基于直觉模糊偏好关系,将开发的相似度度量用于群体决策的共识分析,最后将其推广到区间值直觉模糊集理论。

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