Toward Fuzzy-valued Matching and Similarity Assessment

Thomas Sudkamp; Valerie Cross

doi:10.1109/NAFIPS.1996.534704

Toward Fuzzy-valued Matching and Similarity Assessment

Thomas Sudkamp, Valerie Cross

Wright State University

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Proceedings of North American Fuzzy Information Processing Society
DOIs	https://doi.org/10.1109/NAFIPS.1996.534704
State	Published - Jan 1 1996

Keywords

Computer science
Databases, Data analysis
Fuzzy sets
Level set
Measurement standards
Pattern analysis
Pattern recognition
Position measurement
Shape measurement

Disciplines

Computer Sciences
Engineering
Mathematics
Physical Sciences and Mathematics

Access to Document

10.1109/NAFIPS.1996.534704License: Unspecified

http://ieeexplore.ieee.org/document/534704/

Cite this

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KW - Computer science

KW - Databases, Data analysis

KW - Fuzzy sets

KW - Level set

KW - Measurement standards

KW - Pattern analysis

KW - Pattern recognition

KW - Position measurement

KW - Shape measurement

UR - https://corescholar.libraries.wright.edu/cse/439

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M3 - Article

JO - Proceedings of North American Fuzzy Information Processing Society

JF - Proceedings of North American Fuzzy Information Processing Society

ER -

Toward Fuzzy-valued Matching and Similarity Assessment

Abstract

Keywords

Disciplines

Access to Document

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Cite this