Soft computing is a new paradigm in computing based on a creative fusion of computing techniques like fuzzy computing, neural and genetic computing and similar, characterized by dealing with uncertainty, vagueness, imprecision and sub-optimality and by inspiration by human problem solving and learning. Its aim is to solve problems for which classical mathematical methods are difficult or impossible to apply due to enormous amount of data or to lack of theoretical background. Foundations include mathematical fuzzy logic, theory of approximation, non-standard models of computation, fuzzy database theory and similar. Data mining (including the Czech GUHA method) is also relevant. There exists informal cooperation of Czech, Slovak and Italian specialists in the domain; some of them are members of the editorial board of the Springer Soft Computing journal.
Of them, D. Mundici (Milano), P. Vojtas (Slovakia) and P. Hajek will be the program commitee of the workshop.
Speakers could include R. Kruse (Germany), S. Gottwald (Germany), M. Baaz (Austria), V. Novak (Czech Rep.), A. di Nola (Italy) and others, in particular doctoral students.
L. Zadeh: What is soft coputing. Soft Computing 1 (1997), 1.
P. Hajek: Metamathematics of fuzzy logic, Kluwer 1998
D. Nauck, F. Klawonn, R. Kruse: Foundations of Neuro-fuzzy systems, J. Willey and Sons, 1997
V. Novak, I. Perfilieva, J. Mockor: Mathematical principles of fuzzy logic, Kluwer 1999
and many others.