Soft data mining, computational theory of perceptions, and rough-fuzzy approach

被引：33

作者：

Pal, SK ^{[1
]}

机构：

[1] Indian Stat Inst, Machine Intelligence Unit, Kolkata 700108, W Bengal, India

来源：

INFORMATION SCIENCES | 2004年 / 163卷 / 1-3期

关键词：

soft computing; fuzzy granulation; granular computation; rough sets; case-based reasoning;

D O I：

10.1016/j.ins.2003.03.014

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data mining and knowledge discovery is described from pattern recognition point of view along with the relevance of soft computing. Key features of the computational theory of perceptions and its significance in pattern recognition and knowledge discovery problems are explained. Role of fuzzy-granulation (f-granulation) in machine and human intelligence, and its modeling through rough-fuzzy integration are discussed. Merits of fuzzy granular computation, in terms of performance and computation time, for the task of case generation in large scale case-based reasoning systems are illustrated through an example. (C) 2003 Elsevier Inc. All rights reserved.

引用

页码：5 / 12

页数：8

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