Evolutionary modular design of rough knowledge-based network using fuzzy attributes

Abstract

This article describes a way of integrating rough set theory with a fuzzy MLP using a modular evolutionary algorithm, for classi"cation and rule generation in soft computing paradigm. The novelty of the method lies in applying rough set theory for extracting dependency rules directly from a real-valued attribute table consisting of fuzzy membership values… (More)
DOI: 10.1016/S0925-2312(00)00335-0

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