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The rough-fuzzy hybridization scheme has become of research interest in a variety of areas over the past decade. The present paper proposes a general framework for adaptive T-S type rough-fuzzy inference systems (ARFIS) for many practical applications. Rough set theory is utilized to reduce the number of attributes and to obtain a minimal set of decision rules based on input-output data sets. A T-S...
The Rough-Fuzzy hybridization scheme has become of research interest in pattern classification over the past decade. The present paper proposes a new Adaptive T-S type rough-fuzzy inference system (ARFIS) for pattern classification. Rough set theory is utilized to reduce the number of attributes and also to obtain a minimal set of decision rules based on input-output data sets. A T-S type fuzzy inference...
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