© 2007

Foundations of Fuzzy Logic and Soft Computing

12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007. Proceedings

  • Editors
  • Patricia Melin
  • Oscar Castillo
  • Luis T. Aguilar
  • Janusz Kacprzyk
  • Witold Pedrycz
Conference proceedings IFSA 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4529)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4529)

Table of contents

  1. Front Matter
  2. Relation Between Interval and Fuzzy Techniques

  3. Intuitionistic Fuzzy Sets and Their Applications

    1. Front Matter
      Pages 67-67
    2. J. Montero, D. Gómez, H. Bustince
      Pages 69-75
    3. Eulalia Szmidt, Janusz Kacprzyk
      Pages 76-85
    4. Ioannis K. Vlachos, George D. Sergiadis
      Pages 86-95
    5. Pedro Couto, Humberto Bustince, Vitor Filipe, Edurne Barrenechea, Miguel Pagola, Pedro Melo-Pinto
      Pages 96-103
    6. Ioannis K. Vlachos, George D. Sergiadis
      Pages 104-113
    7. Zheng Pei, Li Zhang, Honghua Chen
      Pages 114-121
  4. The Application of Fuzzy Logic and Soft Computing in Flexible Querying

    1. Front Matter
      Pages 123-123
    2. Troels Andreasen, Henrik Bulskov
      Pages 135-144
    3. Federico Del Razo Lopez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire
      Pages 145-154
    4. Jörg Verstraete, Axel Hallez
      Pages 155-161

About these proceedings


This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an imp- tant contribution to the theory and applications of fuzzy logic and soft c- puting methodologies. Soft computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. The papers of IFSA 2007 also make a contribution to this goal. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to achieve intelligent solutions to complex problems. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the papers contained in the book. The book is divided into 14 main parts.Eachpart contains a set of papers on a common subject, so that the reader can ?nd similar papers grouped together. Some of these parts comprise the papers of organized sessions of IFSA 2007 and we thank the session organizers for their incredible job in forming these sessions with invited and regular paper submissions.


agents algorithms data mining fuzzy fuzzy logic fuzzy system genetic algorithm genetic algorithms information processing intelligent systems knowledge logic neural network optimization service-oriented computing

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