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We propose a Fuzzy Generalized Nearest Proto- type Classi er (FGNPC). The classi cation decision is crisp and is based on aggregation of sim-.

A Fuzzy Generalized Nearest Prototype Classi er Ludmila I. Kuncheva, James C. Bezdek Department of Computer Science University of West Florida, Pensacola, FL 32514, USA e-mail: [email protected]; [email protected]

Abstract

Obtaining the prototypes V is usually based on a sample set X = fx1 ; : : : ; xn g; X