Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Kaoru Hirota; Witold Pedrycz

doi:10.1109/TSMC.1986.289297

Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Kaoru Hirota, Witold Pedrycz

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11 引用（Scopus）

摘要

The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.

源语言	英语
页（从-至）	173-179
页数	7
期刊	IEEE Transactions on Systems, Man and Cybernetics
卷	16
期	1
DOI	https://doi.org/10.1109/TSMC.1986.289297
出版状态	已出版 - 1986
已对外发布	是

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Hirota, K., & Pedrycz, W. (1986). Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis. IEEE Transactions on Systems, Man and Cybernetics, 16(1), 173-179. https://doi.org/10.1109/TSMC.1986.289297

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abstract = "The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.",

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Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

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