Title
A tool to obtain a hierarchical qualitative rules from quantitative data
Date Issued
01 January 1998
Access level
open access
Resource Type
conference paper
Author(s)
Universidad de Sevilla
Publisher(s)
Springer Verlag
Abstract
A tool to obtain a classifier system from labelled databases is presented. The result is a hierarchical set of rules to divide the space in n-orthohedrons. This hierarchy means that obtained rules must be applied in specific order, that is, an example will be classify by i-rule only if it isn't matched the conditions of the i-1 preceding rules. It is used a genetic algorithm with real codification as searching method. Logically, computation time will be greater than other systems like C4.5, but it will provide flexibility to the user because it is always possible to produce rules set with 0% of error rate and, from here, to relax the error rate for having less rules. Afterwards, a qualitative approach is made to obtain a linguistic rule set. Finally, several results are summarized in section 4.
Start page
336
End page
346
Volume
1415
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-84947711646
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN of the container
3540645829
Sources of information:
Directorio de Producción Científica
Scopus