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
fDate :
6/24/1905 12:00:00 AM
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;
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
DOI :
10.1109/FUZZ.2002.1005017
