Toward Fuzzy-valued Matching and Similarity Assessment

Authors

Thomas Sudkamp, Wright State University - Main CampusFollow
Valerie Cross

Document Type

Article

Publication Date

1996

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Abstract

A fuzzy-valued measure of the degree of matching of two fuzzy sets is proposed based on the Jaccard index applied to the level sets. This measure satisfies a generalization the criteria of Dubois and Prade (1982) for point-valued matching indices. A similarity index is obtained by combining the matching index with a proximity assessment. These fuzzy-valued indices provide a more comprehensive summarization of the similarity of fuzzy sets than the standard point-valued measures.

Comments

Presented at the North American Fuzzy Information Processing Society, Berkeley, CA.

Repository Citation

Sudkamp, T., & Cross, V. (1996). Toward Fuzzy-valued Matching and Similarity Assessment. Proceedings of North American Fuzzy Information Processing Society, 59-62.
https://corescholar.libraries.wright.edu/cse/439

DOI

10.1109/NAFIPS.1996.534704