Ausgabe 9/2006
Inhalt (12 Artikel)
Editorial
New trends in the fuzzy modeling part I: novel approaches
Adel M. Alimi, Francisco Herrera
Focus
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling
Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
Focus
Multi-objective evolution of fuzzy systems
Jesús González, Ignacio Rojas, Héctor Pomares, Fernando Rojas, José Manuel Palomares
Focus
MAGAD-BFS: A learning method for Beta fuzzy systems based on a multi-agent genetic algorithm
Ilhem Kallel, Adel M. Alimi
Focus
Expert guided integration of induced knowledge into a fuzzy knowledge base
Serge Guillaume, Luis Magdalena
Focus
Genetic polynomial regression as input selection algorithm for non-linear identification
K. Maertens, J. De Baerdemaeker, R. Babuška
Focus
A genetic method for designing TSK models based on objective weighting: application to classification problems.
S. E. Papadakis, J. B. Theocharis
Focus
Induction of descriptive fuzzy classifiers with the Logitboost algorithm
José Otero, Luciano Sánchez
Focus
An approach to fuzzy default reasoning for function approximation
Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima