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

Computer Science and Engineering

Research output: Contribution to conference › Paper › 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	English
Pages	59-62
Number of pages	4
DOIs	https://doi.org/10.1109/NAFIPS.1996.534704
State	Published - 1996
Event	Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS - Berkeley, CA, USA Duration: Jun 19 1996 → Jun 22 1996

Conference

Conference	Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS
City	Berkeley, CA, USA
Period	6/19/96 → 6/22/96

ASJC Scopus Subject Areas

General Engineering

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

Cite this

@conference{6a859b6e466542668c5b6e2a3cfc71a9,

title = "Toward Fuzzy-valued Matching and Similarity Assessment",

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.",

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

author = "Thomas Sudkamp and Valerie Cross",

year = "1996",

doi = "10.1109/NAFIPS.1996.534704",

language = "English",

pages = "59--62",

note = "Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS ; Conference date: 19-06-1996 Through 22-06-1996",

}

TY - CONF

T1 - Toward Fuzzy-valued Matching and Similarity Assessment

AU - Sudkamp, Thomas

AU - Cross, Valerie

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

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://www.scopus.com/pages/publications/0029697969

UR - https://www.scopus.com/inward/citedby.url?scp=0029697969&partnerID=8YFLogxK

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

U2 - 10.1109/NAFIPS.1996.534704

DO - 10.1109/NAFIPS.1996.534704

M3 - Paper

SP - 59

EP - 62

T2 - Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS

Y2 - 19 June 1996 through 22 June 1996

ER -

Toward Fuzzy-valued Matching and Similarity Assessment

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

Other files and links

Cite this