Kaolin quality determination through an algorithm based on non-parametric fuzzy logic
- Celestino Ordóñez Galán 1
- Ángeles Saavedra 1
- María Araújo Fernández 1
- Eduardo Giráldez Pérez 1
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1
Universidade de Vigo
info
ISSN: 0012-7353
Argitalpen urtea: 2012
Alea: 79
Zenbakia: 171
Orrialdeak: 59-64
Mota: Artikulua
Beste argitalpen batzuk: DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín
Laburpena
In this article we describe a new fuzzy supervised classification method that is a modification of the fuzzy pattern-matching multidensity classifier. The latter has been demonstrated to be one of the most effective classifiers for non-convex classes. Implementing a non-parametric density estimator in one stage of the parametric method, we developed a fuzzy non-parametric classifier that manages to avoid some of the problems associated with the parametric method. The method was applied to a mineralogy problem consistingof classifying kaolin samples according to different ceramic quality levels. Our results produced error percentages that were lower than those for the parametric method