基于容差关系和最大一致性的模糊k分区的生成

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.619412

T. Murai, A. Kitada, Yoshiharu Sato

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引用次数: 2

摘要

提出了一种基于容差关系和最大一致性的模糊k分区生成方法。特别强调了两个以上聚类的一般情况可以简化为两个聚类在清晰分区和模糊分区中的特殊情况。然后，可以证明一种生成模糊子集的方法可以应用于模糊k分区的生成。

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Generation of fuzzy k-partitions based on tolerance relations and maximal consistency

A method of generating fuzzy k-partitions is proposed based on tolerance relations and maximal consistency. In particular, emphasis is put on the point that general cases of more than two clusters can be reduced to special cases of two clusters in both crisp and fuzzy partitions. Then a way of generating fuzzy subsets can be shown to be applied to the generation of fuzzy k-partitions.

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来源期刊

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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