Fuzzy max-min classifiers decide locally on the basis of two attributes.

Título inglés	Fuzzy max-min classifiers decide locally on the basis of two attributes.
Título español	Clasificadores max-min difusos deciden localmente sobre la base de dos atributos.
Autor/es	Schmidt, Birka von ; Klawonn, Frank
Organización	Inst. Flight Guid. German Aerosp. Cent., Braunschweig, Alemania; Dep. Electr. Eng. Comput. Sci. Ostfriesland Univ. Appl. Sci., Emden, Alemania
Revista	1134-5632
Publicación	1999, 6 (1): 91-108, 19 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	Fuzzy classification systems differ from fuzzy controllers in the form of their outputs. For classification problems a decision between a finite number of discrete classes has to be made, whereas in fuzzy control the output domain is usually continuous, i.e. a real interval. In this paper we consider fuzzy classification systems using the max-min inference scheme and classifying an unknown datum on the basis of maximum matching, i.e. assigning it to the class appearing in the consequent of the rule whose premise fits best. We basically show that this inference scheme locally takes only two attributes (variables) into account for the classification decision.
Clasificación UNESCO	120908
Palabras clave español	Control difuso ; Teoría de la decisión ; Sistemas de control ; Inferencia estadística
Código MathReviews	MR1724389
Código Z-Math	Zbl 0964.93060
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