Title :
Fusion of fuzzy/neuro/evolutionary computing for knowledge acquisition
Author :
Furuhashi, Takeshi
Author_Institution :
Dept. of Inf. Eng., Mie Univ., Tsu, Japan
fDate :
9/1/2001 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
