A projection based method for sparse fuzzy system generation
Chong, A., Gedeon, T.D. and Kóczy, L.T. (2002) A projection based method for sparse fuzzy system generation. In: Mastorakis, N. and Mladenov, V., (eds.) Recent Advances in Computers, Computing and Communications. World Scientific and Engineering Academy and Society, pp. 321-325.
Abstract
A projection based method for sparse fuzzy system generation is proposed. Given a set of training data, clustering is first performed on the output space. Data points from each output cluster are projected back to each input dimension forming one-dimensional clusters. The clusters from different dimension are then merged to form fuzzy rules. Experiments have confirmed the effectiveness of the proposed technique.
Item Type: | Book Chapter |
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Murdoch Affiliation(s): | School of Information Technology |
Publisher: | World Scientific and Engineering Academy and Society |
URI: | http://researchrepository.murdoch.edu.au/id/eprint/33878 |
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