DocumentCode :
315572
Title :
Generation of fuzzy k-partitions based on tolerance relations and maximal consistency
Author :
Murai, Tctsuya ; Kitada, Akihiro ; Sat, Yoshiharu
Author_Institution :
Res. Group of Math. Inf. Eng., Hokkaido Univ., Sapporo, Japan
Volume :
2
fYear :
1997
fDate :
27-23 May 1997
Firstpage :
378
Abstract :
A method of generating fuzzy k-partitions is proposed based on tolerance relations and maximal consistency. In particular, emphasis is put on the point that general cases of more than two clusters can be reduced to special cases of two clusters in both crisp and fuzzy partitions. Then a way of generating fuzzy subsets can be shown to be applied to the generation of fuzzy k-partitions
Keywords :
fuzzy set theory; clusters; crisp partitions; fuzzy k-partitions generation; fuzzy subsets; maximal consistency; tolerance relations; Australia; Fuzzy sets; Intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
Type :
conf
DOI :
10.1109/KES.1997.619412
Filename :
619412
Link To Document :
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