This paper provides an innovative segmentation approach stemming from the combination
of cluster analyses and fuzzy learning techniques. Our research provides a real case …

This paper addresses the problem of choosing the most appropriate classification from a
given set of classifications of a set of patterns. This is a relevant topic on unsupervised …

The food retailing market has reached a mature stage where companies need to be
competitive if they are to survive. Customers are ever more demanding and retailers need to …

This paper discuss about the characterization of voltage sags, based on the extraction of
significant features. These are used to give a qualitative/quantitative description, useful for …

This paper lies within the domain of learning algorithms based on fuzzy logic connectives. It
is shown how the use of qualitative information in a learning process will increase the power …

The application of qualitative reasoning to learning algorithms can provide these models
with the capability of automate common-sense and expert reasoning. Learning algorithms …

Two techniques for voltage sags characterisation and classification have been integrated.
The objective is to assist monitoring systems in order to improve automatic recognition of …

The use of unsupervised fuzzy learning methods produces a large number of alternative
classifications. This paper presents and analyzes a series of criteria to select the most …

En este artículo, se presenta una propuesta de clasificación para la categorización de
clientes del banco Tatra Bank (Eslovaquia). En esta propuesta se realiza un análisis …

In this paper, a classification approach to solve the Tatra Bank problem proposed by
EUNITE is given. This approach presents a statistical analysis of data in order to select …