Kaolin quality determination through an algorithm based on non-parametric fuzzy logic

  1. Celestino Ordóñez Galán 1
  2. Ángeles Saavedra 1
  3. María Araújo Fernández 1
  4. Eduardo Giráldez Pérez 1
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

Aldizkaria:
DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín

ISSN: 0012-7353

Argitalpen urtea: 2012

Alea: 79

Zenbakia: 171

Orrialdeak: 59-64

Mota: Artikulua

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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

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