Similarity Measure Construction of the Fuzzy Set for the Reliable Data Selection 


Vol. 30,  No. 9, pp. 854-859, Sep.  2005


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  Abstract

We construct the fuzzy entropy for measuring of uncertainty with the help of relation between distance measure and similarity measure. Proposed fuzzy entropy is constructed through distance measure. In this study, the distance measure is used Hamming distance measure. Also for the measure of similarity between fuzzy sets or crisp sets, we construct similarity measure through distance measure, and the proposed fuzzy entropies and similarity measures are proved.

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  Cite this article

[IEEE Style]

S. Lee, "Similarity Measure Construction of the Fuzzy Set for the Reliable Data Selection," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 854-859, 2005. DOI: .

[ACM Style]

Sang-Hyuk Lee. 2005. Similarity Measure Construction of the Fuzzy Set for the Reliable Data Selection. The Journal of Korean Institute of Communications and Information Sciences, 30, 9, (2005), 854-859. DOI: .

[KICS Style]

Sang-Hyuk Lee, "Similarity Measure Construction of the Fuzzy Set for the Reliable Data Selection," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 854-859, 9. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880