Raúl Pérez

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SLAVE (Structural Learning Algorithm in Vague Environment) is an inductive learning algorithm that uses concepts based on fuzzy logic theory. This theory has shown be an useful representation tool for improving the understanding under a human point of view, of the knowledge obtained. Furthermore, SLAVE uses an iterative approach for learning with genetic(More)
The completeness and consistency conditions were introduced in order to achieve acceptable concept recognition rules. In real problems, we can handle noise-aaected examples and it is not always possible to maintain both conditions. Moreover, when we use fuzzy information there is a partial matching between examples and rules, therefore the consistency(More)
Genetic algorithms offer a powerful search method for a variety of learning tasks, and there are different approaches in which they have been applied to learning processes. Structural learning algorithm on vague environment (SLAVE) is a genetic learning algorithm that uses the iterative approach to learn fuzzy rules. SLAVE can select the relevant features(More)
Learning algorithms can obtain very useful descriptions of several problems. Many di1erent alternative descriptions can be generated. In many cases, a simple description is preferable since it has a higher possibility of being valid in unseen cases and also it is usually easier to understand by a human expert. Thus, the main idea of this paper is to propose(More)
This report provides an evaluation of the community-level effects of the Programa Nacional de Educacion, Salud, y Alimentacion (PROGRESA) using household-level data from various rounds of PROGRESA’s evaluation sample (the Encuesta de Evaluaci\n de los Hogares [ENCEL] surveys). These surveys, along with the Encuesta de CaracterRsticas Socioecon\micas de los(More)
This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. This problem has some specific restrictions that make it very particular and complex because of the large time(More)
INTRODUCTION AND OBJECTIVES Few studies in Spain have reported the distribution of metabolic syndrome using the harmonized definition and that of premorbid metabolic syndrome, which consists of metabolic syndrome without diabetes mellitus or cardiovascular disease. Moreover, their regional distributions and clinical management are unknown. The present study(More)
A very important problem associated with the use of learning algorithms consists of fixing the correct assignment of the initial domains for the predictive variables. In the fuzzy case, this problem is equivalent to define the fuzzy labels for each variable. In this work, we propose the inclusion in a learning algorithm, called SLAVE, of a particular kind(More)
0020-0255/$ see front matter 2011 Elsevier Inc doi:10.1016/j.ins.2011.06.013 q This work was partially supported by the projec ⇑ Corresponding author. Tel.: +34 958 244019; fa E-mail addresses: ycaises@facinf.uho.edu.cu (Y. decsai.ugr.es (R. Pérez). 1 Tel.: +53 24 482672; fax: +53 24 468050. Although there are several proposals in the instance selection(More)