1. New trends in the fuzzy modeling part I: novel approaches

   • Adel M. Alimi
   • Francisco Herrera

   Editorial 02 December 2005 Pages: 715 - 716

2. Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling

   • Rafael Alcalá
   • Jesús Alcalá-Fdez
   • Francisco Herrera

   Focus 12 October 2005 Pages: 717 - 734

3. Multi-objective evolution of fuzzy systems

   • Jesús González
   • Ignacio Rojas
   • José Manuel Palomares

   Focus 22 October 2005 Pages: 735 - 748

4. Reducing the number of parameters of a fuzzy system using scaling functions

   • Frank Klawonn

   FOCUS 15 December 2005 Pages: 749 - 756

5. MAGAD-BFS: A learning method for Beta fuzzy systems based on a multi-agent genetic algorithm

   • Ilhem Kallel
   • Adel M. Alimi

   Focus 07 October 2005 Pages: 757 - 772

6. Expert guided integration of induced knowledge into a fuzzy knowledge base

   • Serge Guillaume
   • Luis Magdalena

   Focus 14 January 2006 Pages: 773 - 784

7. Genetic polynomial regression as input selection algorithm for non-linear identification

   • K. Maertens
   • J. De Baerdemaeker
   • R. Babuška

   Focus 15 December 2005 Pages: 785 - 795

8. Construction of fuzzy knowledge bases incorporating feature selection

   • Ning Xiong
   • Peter Funk

   Focus 12 October 2005 Pages: 796 - 804

9. A genetic method for designing TSK models based on objective weighting: application to classification problems.

   • S. E. Papadakis
   • J. B. Theocharis

   Focus 07 October 2005 Pages: 805 - 824

10. Induction of descriptive fuzzy classifiers with the Logitboost algorithm

    • José Otero
    • Luciano Sánchez

    Focus 12 October 2005 Pages: 825 - 835

11. Fuzzy systems design: direct and indirect approaches

    • Plamen Angelov
    • Costas Xydeas

    Focus 07 October 2005 Pages: 836 - 849

12. An approach to fuzzy default reasoning for function approximation

    • Hisao Ishibuchi
    • Takashi Yamamoto
    • Tomoharu Nakashima

    Focus 13 October 2005 Pages: 850 - 864