Learning in Fuzzy Domains
نویسندگان
چکیده
Nested Generalized Exemplar (NGE) theory is an incremental form of inductive learning from examples. This paper presents a Fuzzy NGE learning system which induces fuzzy hypotheses from a set of examples described by fuzzy attributes and a crisp class. It presents and discusses the main concepts which supported the development of this system. An empirical evaluation of the FNGE prototype system is given.
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تاریخ انتشار 1999