DocumentCode
1640841
Title
A classifier based on the fuzzy similarity in the Lukasiewicz structure with different metrics
Author
Saastamoinen, Kalle ; Könönen, Ville ; Luukka, Pasi
Author_Institution
Lab. of Appl. Math., Lappeenranta Univ. of Technol., Finland
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
363
Lastpage
367
Abstract
The first aim of this paper is to extend the fuzzy similarity relation defined in the generalized Lukasiewicz structure to utilize common and cumulative Minkowsky metrics and introduce a new classifier based on the cumulative similarity measure which uses the Minkowsky metrics in the generalized Lukasiewicz structure. The second aim of this paper is to study properties of this classifier when applied to three different datasets
Keywords
fuzzy set theory; pattern classification; Lukasiewicz structure; Minkowsky metrics; classifier; fuzzy similarity; metrics; Clustering algorithms; Extraterrestrial measurements; Fuzzy set theory; Information processing; Intelligent networks; Laboratories; Machinery; Mathematics; Neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1005017
Filename
1005017
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