Generation of fuzzy k-partitions based on tolerance relations and maximal consistency

被引：0
|
作者：
Murai, T
Kitada, A
Sato, Y
机构：
来源：
FIRST INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, PROCEEDINGS 1997 - KES '97, VOLS 1 AND 2 | 1997年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method of generating fuzzy k-partitions is proposed based on toleraance relations and maximal consistency. In particular, emphasis is put on the point that general cases of more than 2 clusters can be reduced into special cases of 2 clusters in both crisp and fuzzy partitions. Then a way of generating fuzzy subsets can be shown to be applied to generation of fuzzy k-partitions.
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页码：378 / 382
页数：5
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