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EUSFLAT
2001
115views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Jorge Casillas, Oscar Cordón, Francisco Her...
FUZZIEEE
2007
IEEE
13 years 11 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
AE
2001
Springer
13 years 9 months ago
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
In the last few years, the coevolutionary paradigm has shown an increasing interest thanks to its high ability to manage huge search spaces. Particularly, the cooperative interacti...
Jorge Casillas, Oscar Cordón, Francisco Her...
16
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HAIS
2009
Springer
13 years 2 months ago
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...
ROBOCUP
2001
Springer
111views Robotics» more  ROBOCUP 2001»
13 years 9 months ago
Evolving Fuzzy Logic Controllers for Sony Legged Robots
This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided...
Dongbing Gu, Huosheng Hu