DocumentCode
1528087
Title
Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition
Author
Furuhashi, Takeshi
Author_Institution
Dept. of Inf. Eng., Mie Univ., Tsu, Japan
Volume
89
Issue
9
fYear
2001
fDate
9/1/2001 12:00:00 AM
Firstpage
1266
Lastpage
1274
Abstract
Soft computing is a consortium of methodologies, which deal with various kinds of inaccuracies and uncertainties contained in real-world problems. In this paper soft computing is discussed from the viewpoint of a combination of characteristic features unique to fuzzy, neural, and evolutionary computing. This paper is intended to describe particularly the knowledge acquisition from inaccurate and uncertain data and to point out the areas where soft computing can become a breakthrough technology
Keywords
evolutionary computation; fuzzy logic; knowledge acquisition; neural nets; principal component analysis; uncertainty handling; evolutionary computing; fuzzy logic; fuzzy modeling; fuzzy principal component analysis; knowledge acquisition; neural nets; soft computing; uncertainty handling; Data mining; Feature extraction; Fuzzy neural networks; Gravity; Humans; Knowledge acquisition; Neural networks; Pattern matching; Principal component analysis; Uncertainty;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.949484
Filename
949484
Link To Document