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CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 5 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
CEC
2005
IEEE
13 years 7 months ago
COFRE: a fuzzy rule coevolutionary approach for multiclass classification problems
— This paper presents a technique for solving multiclass classification problems using a coevolutionary approach. There are m populations, where m is the number of classes. Indi...
Jonatan Gomez, Arturo Garcia, Camilo Silva
ICTAI
1992
IEEE
13 years 9 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
EUSFLAT
2001
100views Fuzzy Logic» more  EUSFLAT 2001»
13 years 7 months ago
Fuzzy modelling using fuzzy mathematical programming
In this paper we will describe several methods that solve, using mathematical programming, different problems that, although can be used in others fields in the fuzzy modelling co...
José Manuel Cadenas, M. Carmen Garrido, J. ...
FUZZIEEE
2007
IEEE
13 years 12 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero