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Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems

IJCAI '95 Workshop, Montreal, Canada, August 19-21, 1995, Selected Papers

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Trevor P. Martin
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  2. Anca L. Ralescu
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1188)

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

Included in the following conference series:

Conference proceedings info: FLAI 1995.

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Table of contents (20 papers)

  1. Front Matter

    Download chapter PDF

  2. Constructing prioritized fuzzy models

    • Ronald R. Yager
    Pages 1-13

  3. Integrating activities with neurofuzzy distributed systems

    • A. B. S. Serapião, A. F. Rocha
    Pages 14-28

  4. The use of fuzzy representation in a CBR system for mesh design

    • Neil Hurley
    Pages 29-43

  5. FLIP++ a fuzzy logic inference processor library

    • Markus Bonner, Stefan Mayer, Andreas Raggl, Wolfgang Slany
    Pages 44-56

  6. Fuzzy reasoning and applications for intelligent scheduling of robots

    • Eugene Levner, Leonid Meyzin, Alexander Ptuskin
    Pages 57-68

  7. Fuzzy Logic as interfacing technique in hybrid AI-systems

    • Christoph S. Herrmann
    Pages 69-80

  8. Extracting knowledge from data using an intelligent fuzzy data browser

    • J. F. Baldwin, T. P. Martin
    Pages 81-100

  9. Fuzzy systems with learning capability

    • Shigeo Abe
    Pages 101-115

  10. Automatic knowledge base tuning

    • Les M. Sztandera
    Pages 116-127

  11. A fuzzy-based approach to the analysis of financial investments

    • Vincenzo Loia, Sergio Scandizzo
    Pages 128-143

  12. Searching for the organizational memory using fuzzy modeling

    • Alessandro Cannavacciuolo, Guido Capaldo, Aldo Ventre, Antonio Volpe, Giuseppe Zollo
    Pages 144-152

  13. Fuzzy geodesic distance in images

    • Isabelle Bloch
    Pages 153-166

  14. Using fuzzy information in knowledge guided segmentation of brain tumors

    • Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin S. Silbiger
    Pages 167-181

  15. FEDGE — Fuzzy edge detection by Fuzzy Categorization and Classification of edges

    • Kenneth H. L. Ho, Noboru Ohnishi
    Pages 182-196

  16. Towards hybrid spatial reasoning

    • Hans W. Guesgen
    Pages 197-206

  17. Mobile robot localization using fuzzy maps

    • Jorge Gasós, Alejandro Martín
    Pages 207-224

  18. Structure cognition from images

    • Anca L. Ralescu, James G. Shanahan
    Pages 225-239

  19. Towards possibilistic decision theory

    • Didier Dubois, Henri Prade
    Pages 240-251

  20. Measurement-theoretic frameworks for fuzzy set theory

    • Taner Bilgiç, I. Burhan TürkÅŸen
    Pages 252-265
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  1. Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems

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About this book

This thoroughly refereed and well organized collection of papers is largely based on papers originally presented at the IJCAI'95 Workshop on Fuzzy Logic in AI, held in Montreal, Canada, in August 1995. Additionally, a few papers were invited in order to round off the scope and competent coverage of relevant topics.
The 20 revised full papers included are organized in sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments. Focusing on the most pressing problems of AI, the volume supports the view that fuzzy systems combined with traditional AI leads the move towards the next generation of intelligent systems.

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