The present volume collects selected papers arising from lectures
delivered by the authors at the School on Fuzzy Logic and Soft Computing
held during the years 1996/97/98/99 and sponsored by the Salerno
University. The authors contributing to this volume agreed with editors
to write down, to enlarge and, in many cases, to rethink their original
lectures, in order to offer to readership, a more compact presentation
of the proposed topics. The aim of the volume is to offer a picture, as
a job in progress, of the effort that is coming in founding and
developing soft computing's techniques. The volume contains papers aimed
to report on recent results containing genuinely logical aspects of
fuzzy logic. The topics treated in this area cover algebraic aspects of
Lukasiewicz Logic, Fuzzy Logic as the logic of continuous t-norms,
Intuitionistic Fuzzy Logic. Aspects of fuzzy logic based on similar- ity
relation are presented in connection with the problem of flexible
querying in deductive database. Departing from fuzzy logic, some papers
present re- sults in Probability Logic treating computational aspects,
results based on indishernability relation and a non commutative version
of generalized effect algebras. Several strict applications of soft
computing are presented in the book. Indeed we find applications ranging
among pattern recognition, image and signal processing, evolutionary
agents, fuzzy cellular networks, classi- fication in fuzzy environments.
The volume is then intended to serve as a reference work for
foundational logico-algebraic aspect of Soft Computing and for concrete
applications of soft computing technologies.
