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» Evolving Fuzzy Rules with UCS: Preliminary Results
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IWCLS
2007
Springer
13 years 10 months ago
Evolving Fuzzy Rules with UCS: Preliminary Results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. FuzzyUCS combines the generalization capabilities of UCS w...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
13 years 10 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&...
HAIS
2008
Springer
13 years 5 months ago
Approximate Versus Linguistic Representation in Fuzzy-UCS
Abstract. This paper introduces an approximate fuzzy representation to FuzzyUCS, a Michigan-style Learning Fuzzy-Classifier System that evolves linguistic fuzzy rules, and studies ...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
UCS
2007
Springer
13 years 10 months ago
D-FLER - A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks
Abstract. We propose D-FLER, a distributed, general-purpose reasoning engine for WSN. D-FLER uses fuzzy logic for fusing individual and neighborhood observations, in order to produ...
Mihai Marin-Perianu, Paul J. M. Havinga
HAIS
2011
Springer
12 years 8 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...