Fuzzy-Systems in Computer Science
In recent years it has become apparent that fuzzy systems provide useful tools for obtaining greater generality, higher expressive power, and more convenient concepts for modelling imprecision and uncertainty in many real world applications in order to achieve tractability and low cost realizations without affecting the overall quality of products. For this reason fuzzy systems have an increasing impact in the realms of artifi cial intelligence, information processing, diagnostics, intelligent control, optimization techniques, decision analysis, and related fields. New and active areas of research emerged, equipped with many practical appli cations and interesting theoretical problems that have not been solved yet. In this connection several German research projects and working groups in Computer science have been formed that focus on various top ics of fuzzy systems. Considering the need for a regular forum where the corresponding work can be discussed by specialists, the research group "Fuzzy Systems" was founded in October 1993 as a part of the German Society of Computer Science (GI). The first important activity of this group referred to the organization of the workshop "Fuzzy Systems - Management of Uncertain Informa tion" in Braunschweig (October 20-22, 1993) with about 120 attending participants. Invited speakers were Abe Mamdani, the founder of fuzzy control, and Didier Dubois, the designed World President of the Inter national Fuzzy Systems Association (IFSA). All major German research groups on fuzzy systems contributed to this workshop.