New trends in the fuzzy modeling part I: novel approaches Adel M. AlimiFrancisco Herrera Editorial 02 December 2005 Pages: 715 - 716
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling Rafael AlcaláJesús Alcalá-FdezFrancisco Herrera Focus 12 October 2005 Pages: 717 - 734
Multi-objective evolution of fuzzy systems Jesús GonzálezIgnacio RojasJosé Manuel Palomares Focus 22 October 2005 Pages: 735 - 748
Reducing the number of parameters of a fuzzy system using scaling functions Frank Klawonn FOCUS 15 December 2005 Pages: 749 - 756
MAGAD-BFS: A learning method for Beta fuzzy systems based on a multi-agent genetic algorithm Ilhem KallelAdel M. Alimi Focus 07 October 2005 Pages: 757 - 772
Expert guided integration of induced knowledge into a fuzzy knowledge base Serge GuillaumeLuis Magdalena Focus 14 January 2006 Pages: 773 - 784
Genetic polynomial regression as input selection algorithm for non-linear identification K. MaertensJ. De BaerdemaekerR. Babuška Focus 15 December 2005 Pages: 785 - 795
Construction of fuzzy knowledge bases incorporating feature selection Ning XiongPeter Funk Focus 12 October 2005 Pages: 796 - 804
A genetic method for designing TSK models based on objective weighting: application to classification problems. S. E. PapadakisJ. B. Theocharis Focus 07 October 2005 Pages: 805 - 824
Induction of descriptive fuzzy classifiers with the Logitboost algorithm José OteroLuciano Sánchez Focus 12 October 2005 Pages: 825 - 835
Fuzzy systems design: direct and indirect approaches Plamen AngelovCostas Xydeas Focus 07 October 2005 Pages: 836 - 849
An approach to fuzzy default reasoning for function approximation Hisao IshibuchiTakashi YamamotoTomoharu Nakashima Focus 13 October 2005 Pages: 850 - 864