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Fuzzy partition models for fitting a set of partitions

机译:模糊分区模型,用于拟合一组分区

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摘要

Methodology is described for fitting a fuzzy consensus partition to a set of partitions of the same set of objects. Three models defining median partitions are described: two of them are obtained from a least-squares fit of a set of membership functions, and the third (proposed by Pittau and Vichi) is acquired from a least-squares fit of a set of joint membership functions. The models are illustrated by application to both a set of hard partitions and a set of fuzzy partitions and comparisons are made between them and an alternative approach to obtaining a consensus fuzzy partition proposed by Sato and Sato; a discussion is given of some interesting differences in the results.
机译:描述了将模糊共识分区拟合到同一组对象的一组分区的方法。描述了定义中位数分区的三个模型:其中两个是从一组隶属度函数的最小二乘拟合中获得的,而第三个模型(由Pittau和Vichi提出)是从一组联合隶属度的最小二乘拟合中获得的功能。通过将模型应用于一组硬分区和一组模糊分区进行说明,并对它们进行比较,以及获得Sato和Sato提出的获得共识模糊分区的另一种方法。讨论了一些有趣的结果差异。

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