Polish (Poland)English (United Kingdom)

Modular Rough Neuro-fuzzy Systems for Classification

Type of Publication: Article
Year: 2008
Journal: Lecture Notes in Computer Science
Volume: 4967
Pages: 540-548
In the paper we propose a new class of modular systems for classification in the case of missing features. We incorporate the rough set theory into construction of neuro-fuzzy systems which create the modular structure. The AdaBoost algorithm is combined with the gradient algorithm to train the whole system. We illustrate the performance of our approach on typical benchmarks.

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