Learning fuzzy systems. An objective function-approach.

Título inglés	Learning fuzzy systems. An objective function-approach.
Título español	Aprender sistemas difusos: un enfoque basado en una función objetivo.
Autor/es	Höppner, Frank ; Klawonn, Frank
Organización	Univ. Appl. Sci. Braunschweig/Wolfenbüttel, Wolfenbüttel, Alemania
Revista	1134-5632
Publicación	2004, 11 (2-3): 143-162, 8 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	One of the most important aspects of fuzzy systems is that they are easily understandable and interpretable. This property, however, does not come for free but poses some essential constraints on the parameters of a fuzzy system (like the linguistic terms), which are sometimes overlooked when learning fuzzy system autornatically from data. In this paper, an objective function-based approach to learn fuzzy systems is developed, taking these constraints explicitly into account. Starting from fuzzy c-means clustering, several modifications of the basic algorithm are proposed, affecting the shape of the membership functions, the partition of individual variables and the coupling of input space partitioning and local function approximation.
Clasificación UNESCO	120903 ; 110208
Palabras clave español	Análisis de datos ; Análisis cluster ; Regresión ; Lógica difusa
Código MathReviews	MR2139294
Código Z-Math	Zbl 1105.68379
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