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.

THE GFSs WEBPAGE IFSA-EUSFLAT 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.php, as a part of the Website "Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects" devoted to maintain additional materials to the paper:

bolita 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:

bolita Evolutionary Learning/Tuning of Fuzzy Rule-Based Systems

bolita Evolutionary Selection of Fuzzy Rules

bolita Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off

bolita Multi-objective Genetic Fuzzy Systems

bolita Genetic Fuzzy Neural Networks

bolita Genetic Fuzzy Clustering

bolita Swarm Intelligence with Fuzzy Systems

bolita Applications of Genetic Fuzzy Systems

 

Important Dates

Extended Deadlines

bolita Deadline for Papers Submission (according IFSA 2009 instructions): January 31, 2009

bolita By March 20, 2009, authors will receive the notification of acceptance/rejection.

bolita Deadline for Camera-ready papers: April 15, 2009.

bolita 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


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