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JUCS
2008
160views more  JUCS 2008»
13 years 7 months ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
14 years 1 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
TFS
2011
194views Education» more  TFS 2011»
13 years 2 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
IFSA
2007
Springer
158views Fuzzy Logic» more  IFSA 2007»
14 years 1 months ago
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees
Abstract. Generally, there are two main streams of theories for studying uncertainties. One is probability theory and the other is fuzzy set theory. One of the basic ideas of fuzzy...
Zengchang Qin, Jonathan Lawry
FUZZIEEE
2007
IEEE
14 years 1 months ago
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
— One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
Sébastien Destercke, Serge Guillaume, Brigi...