EUSFLAT Working Group on Genetic Fuzzy Systems

Aims and Scope

The field of Genetic Fuzzy Systems (GFS) has now reached a stage of maturity after the earliest papers were published sixteen years ago. The fusion of a population-based, robust search algorithm (the genetic algorithm, GA) with a representation that offers linguistic interpretability (fuzzy systems) provides a powerful paradigm for computational intelligence research. Although the maturity of the GFS field means it is now being applied to an ever growing number of real-world applications, there are many basic issues yet to be resolved and there is an active and vibrant worldwide community of researchers working on these issues.
The general goals of the working group are:

  • to encourage research on GFS (e.g. by organization of special sessions and round tables in international conferences, edition of special issues in international journals and edited books);
  • to stimulate collaboration on GFS (by promoting the organization of joint activities, such as, workshops, special sessions, talks, among different research groups, by organizing virtual meetings and seminars, and by improving visibility outside the fuzzy community with interdisciplinary gatherings).


Name / Affiliation E-Mail / www
Brian Carse / University of the West of England, Bristol, UK
Jorge Casillas / University of Granada, Spain