A Hybrid Learning Process for the Knowledge Base of a Fuzzy Rule-Based System
نویسندگان
چکیده
Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic derivation of the knowledge base from numerical data is an important task. In this contribution, we propose a new approach to automatically learn the whole knowledge base, combining two different strategies for rules derivation and fuzzy partitions definition, working cooperatively in order to obtain accurate and interpretable models.
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تاریخ انتشار 2004