Skip to main content

Fuzzy Logic and Applications

6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers

  • Conference proceedings
  • © 2006

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3849)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: WILF 2005.

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (53 papers)

  1. Neuro-fuzzy Systems

  2. Fuzzy Logic and Possibility Theory

  3. Pattern Recognition

  4. Evolutionary Algorithms

Other volumes

  1. Fuzzy Logic and Applications

Keywords

About this book

This volume contains the proceedings of the 6th International Workshop on Soft Computing and Applications (WILF 2005), which took place in Crema, Italy, on September 15–17, 2005, continuing an established tradition of biannual meetings among researchers and developers from both academia and industry to report on the latest scienti?c and theoretical advances, to discuss and debate major issues, and to demonstrate state-of-the-art systems. This edition of the workshop included two special sessions, sort of subwo- shops, focusing on the application of soft computing techniques (or compu- tional intelligence) to image processing (SCIP) and bioinformatics (CIBB). WILF began life in Naples in 1995. Subsequent editions of this event took place in 1997 in Bari, in 1999 in Genoa, in 2001 in Milan, and in 2003 back in Naples. Soft computing, also known as computational intelligence, di?ers from c- ventional (hard) computing in that, unlike hard computing, it is tolerant of - precision, uncertainty, partial truth, and approximation. The guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness, and low solution cost. The main components of soft computing are fuzzy logic, neural computing, and evolutionary computation.

Editors and Affiliations

  • Dept. TSI, CNRS UMR 5141 LTCI, ENST (Télécom ParisTech), Paris, France

    Isabelle Bloch

  • Centro Direzionale, DSA, University of Naples, Naples, Italy

    Alfredo Petrosino

  • Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema,  

    Andrea G. B. Tettamanzi

Bibliographic Information

Publish with us