A fuzzy classifier system based on generalized exemplars

A fuzzy classifier system based on generalized exemplars

This paper describes the main ideas used in the development of a fuzzy classifier system which induces fuzzy hypotheses from a set of examples described by fuzzy real numbers and an associated crisp class. It presents and discusses some results obtained using a prototype system.

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Bibliographische Detailangaben
Hauptverfasser: Sa Lisboa, F.O.S., Do Carmo Nicoletti, M., Ramer, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Australia
Classification algorithms
Euclidean distance
Fuzzy systems
Pattern classification
Performance analysis
Prototypes
Shape
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Beschreibung
Zusammenfassung:This paper describes the main ideas used in the development of a fuzzy classifier system which induces fuzzy hypotheses from a set of examples described by fuzzy real numbers and an associated crisp class. It presents and discusses some results obtained using a prototype system.
DOI:10.1109/FUZZ.2001.1007250