Special Session: New Advances on Genetic Fuzzy Systems

Organizers: Rafael Alcalá, Yusuke Nojima

This session has been accepted at the IFSA-EUSFLAT 2009 conference which will be held in Calouste Gulbenkian Foundation, Lisbon, Portugal, 20-24 July 2009.

      After almost forty years of development, fuzzy systems have demonstrated their superb ability to solve different problems arising in various application domains. In the last two decades, the cooperative framework established made the research interest move to augment fuzzy systems with learning and adaptation capabilities. Since the first pioneer works dated back to 1991, one of the most successful approaches to hybridize fuzzy systems with learning and adaptation methods, apart of course from fuzzy neural networks, has resulted in so-called Genetic Fuzzy Systems. These hybrid computational intelligence techniques augment the approximate reasoning method of fuzzy systems with the learning capabilities of evolutionary algorithms.

       This topic has attracted considerable attention in the Computation Intelligence community in the last few years. The predominat type of GFS is that focused on FRBSs. However other kinds of GFSs have been developed, with succesful results. In the last few years we observe the increase of published papers in the topic due to the high potential of GFSs. A non exhaustive list of recent journal papers on Genetic Fuzzy Rule-Based Systems (2007-Present) can be found at http://sci2s.ugr.es/gfs/biblio, as a part of the Website "Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects" devoted to maintain additional materials to the paper:

F. Herrera, Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46 doi: 10.1007/s12065-007-0001-5

Objectives and Scope

The aim of the session is to provide a forum to disseminate and discuss recent and significant research efforts on Genetic Fuzzy Systems in order to deal with current challenges on this topic. The session is therefore open to any high quality submission from researchers working at the particular intersection of evolutionary algorithms and fuzzy systems called Genetic Fuzzy Systems. Potential authors for this Special Session should present original research and innovative results including (but not limited to) the following topics:

  • Evolutionary Learning/Tuning of Fuzzy Rule-Based Systems
  • Evolutionary Selection of Fuzzy Rules
  • Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off
  • Multi-objective Genetic Fuzzy Systems
  • Genetic Fuzzy Neural Networks
  • Genetic Fuzzy Clustering
  • Swarm Intelligence with Fuzzy Systems
  • Applications of Genetic Fuzzy Systems

Important Dates

Extended Deadlines

  • Deadline for Papers Submission (according IFSA 2009 instructions): January 31, 2009
    • Each paper should follow the formatting guidelines for the conference, which can be consulted here.
    • To submit your paper, please use the Electronic Submission System to fill in the author and paper information forms and to attach a PDF camera ready version of the paper. When making a submission, the author must choose the special session "track SS21 - New Advances on Genetic Fuzzy Systems".
    • Additionally, please once the paper has been submitted send an email to the special session organizers enclosing the submitted pdf.
  • By March 20, 2009, authors will receive the notification of acceptance/rejection.
  • Deadline for Camera-ready papers: April 15, 2009.
  • Early registration: April 15, 2009.

Papers submitted to special sessions will go through the normal reviewing process.

Organizers and Contact

Rafael Alcalá. Contact information:

Email address: alcala@decsai.ugr.es

Postal address: Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain

Telephone number: +34-958-246251

Fax Number: +34-958-243317


Yusuke Nojima. Contact information:

Email address: nojima@cs.osakafu-u.ac.jp

Postal address: Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture

University, 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan

Telephone number: +81-72-254-9198

Fax Number: +81-72-254-9915