Lectures on soft computing and fuzzy logic ; with 4 tables

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This volume compiles selected papers from lectures at the School on Fuzzy Logic and Soft Computing, held from 1996 to 1999 and sponsored by Salerno University. The contributing authors expanded and rethought their original lectures to provide a more concise presentation of their topics. The aim is to showcase the ongoing efforts in establishing and developing techniques in soft computing. The papers report on recent findings that emphasize the logical aspects of fuzzy logic, covering topics such as algebraic aspects of Lukasiewicz Logic, fuzzy logic as the logic of continuous t-norms, and Intuitionistic Fuzzy Logic. Additionally, the volume explores fuzzy logic related to similarity relations, particularly in flexible querying within deductive databases. Beyond fuzzy logic, some contributions discuss Probability Logic, focusing on computational aspects, indistinguishability relations, and a non-commutative version of generalized effect algebras. The book also includes various applications of soft computing, such as pattern recognition, image and signal processing, evolutionary agents, fuzzy cellular networks, and classification in fuzzy environments. Ultimately, this work serves as a reference for both foundational logico-algebraic aspects of soft computing and practical applications of its technologies.