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Similarity computation of fuzzy membership function Pairs with similarity measure

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4682 LNAI 485-492
DOI: 10.1007/978-3-540-74205-0_53
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Abstract

The similarity computations for fuzzy membership function pairs are carried out. Similarity measure is proposed for the general fuzzy sets. Obtained similarity measure has the inverse meaning of fuzzy entropy, and the proposed similarity measure is also constructed through distance measure. Finally similarity computation results are computed for the various membership function pairs. © Springer-Verlag Berlin Heidelberg 2007.

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Park, D. H., Lee, S. H., Song, E. H., & Ahn, D. (2007). Similarity computation of fuzzy membership function Pairs with similarity measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 485–492). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_53

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