DocumentCode
344643
Title
Similar objects and groups extraction from a fuzzy relation
Author
Elloumi, Samir ; Jaoua, Ali
Author_Institution
Computer Sci. Dept., Campus Univ., Tunis, Tunisia
Volume
2
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
1069
Abstract
In this paper, we present two approaches for extracting similarities between data from a fuzzy relation at a given similarity level: (i) the extraction of similar objects, (ii) the extraction of similar groups. We identify a gathering of similar objects by scanning all the objects properties using a similarity measure, and we identify a similar group as a set of objects similar to a given subset of properties. We propose to combine between these two approaches by considering different levels of similarity.
Keywords
fuzzy set theory; pattern recognition; fuzzy relation; group extraction; similarity measure; Computer science; Data analysis; Data mining; Fuzzy sets; Fuzzy systems; Minerals; Petroleum; Samarium;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.793102
Filename
793102
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