%0 Journal Article
%T KAOLIN QUALITY DETERMINATION THROUGH AN ALGORITHM BASED ON NON-PARAMETRIC FUZZY LOGIC
%A ORD¨®£¿EZ
%A CELESTINO
%A SAAVEDRA
%A ¨¢NGELES
%A ARA¨²JO
%A MAR¨ªA
%A GIR¨¢LDEZ
%A EDUARDO
%J DYNA
%D 2012
%I Universidad Nacional de Colombia
%X 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.
%K classification
%K fuzzy set
%K non-parametric fuzzy logic
%K kaolin quality.
%U http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0012-73532012000100007&lng=en&nrm=iso&tlng=en