Fuzzy Logic and Applications 8th International Workshop, WILF 20
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Subseries of Lecture Notes in Computer Science
5571
Vito Di Gesù Sankar Kumar Pal Alfredo Petrosino (Eds.)
Fuzzy Logic and Applications 8th International Workshop, WILF 2009 Palermo, Italy, June 9-12, 2009 Proceedings
13
Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Vito Di Gesù Università di Palermo Dipartimento di Matematica e Applicazioni Via Archirafi 34, 90123 Palermo, Italy E-mail: [email protected] Sankar Kumar Pal Indian Statistical Institute Center for Soft Computing Research Machine Intelligence Unit 203 Barrackpore Trunk Road, Kolkata 700 108, India E-mail: [email protected] Alfredo Petrosino Università di Napoli "Parthenope" Dipartimento di Scienze Applicate Centro Direzionale, Isola C4, 80143 Napoli, Italy E-mail: [email protected]
Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2.3, I.5, I.4, F.4, G.2, J.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-02281-2 Springer Berlin Heidelberg New York 978-3-642-02281-4 Springer Berlin Heidelberg New York
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Preface
The 8th International Workshop on Fuzzy Logic and Applications (WILF 2009) held in Palermo (Italy), June 9-12, 2009, covered topics related to theoretical and experimental areas of fuzzy sets and systems with emphasis on different applications. This event represents the continuation of an established tradition of biannual interdisciplinary meetings. The previous editions of WILF were held, with an increasing number of participants, in Naples (1995), Bari (1997), Genoa (1999), Milan (2001), Naples (2003), Crema (2005) and Camogli (2007). Each event focused on distinct main thematic areas of fuzzy logic and related applications. WILF 2009 aimed to highlight connections and synergies of fuzzy sets theory with nonconventional computing (e.g., neural networks, evolutionary computation, support vector machines, molecular computing, quantum computing) and cognitive science, in order to reach a better understanding of both natural and artificial complex systems as well as computing system
