二类模糊集的相似度测度及其在聚类中的应用

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI:10.1109/FSKD.2007.123

D. Lin, Miin-Shen Yang

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引用次数: 17

摘要

本文提出了一种新的2型模糊集之间的相似性测度及其性质。我们还将提出的相似度度量与Yang和Shih的算法相结合，作为二类模糊数据的聚类方法。根据不同的sigma水平，这些聚类结果组成了一个有用的层次树。

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A Similarity Measure between Type-2 Fuzzy Sets with Its Application to Clustering

In this paper we propose a new similarity measure between type-2 fuzzy sets with its property. We also combine the proposed similarity measures with Yang and Shih's algorithm as a clustering method for type-2 fuzzy data. According to different sigma-level, these clustering results consist of a usefully hierarchical tree.

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Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)

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