Table of contents

  1. Front Matter
  2. Ronald R. Yager
    Pages 1-13
  3. A. B. S. Serapião, A. F. Rocha
    Pages 14-28
  4. Markus Bonner, Stefan Mayer, Andreas Raggl, Wolfgang Slany
    Pages 44-56
  5. Eugene Levner, Leonid Meyzin, Alexander Ptuskin
    Pages 57-68
  6. Shigeo Abe
    Pages 101-115
  7. Les M. Sztandera
    Pages 116-127
  8. Vincenzo Loia, Sergio Scandizzo
    Pages 128-143
  9. Alessandro Cannavacciuolo, Guido Capaldo, Aldo Ventre, Antonio Volpe, Giuseppe Zollo
    Pages 144-152
  10. Isabelle Bloch
    Pages 153-166
  11. Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin S. Silbiger
    Pages 167-181
  12. Hans W. Guesgen
    Pages 197-206
  13. Jorge Gasós, Alejandro Martín
    Pages 207-224
  14. Anca L. Ralescu, James G. Shanahan
    Pages 225-239
  15. Didier Dubois, Henri Prade
    Pages 240-251
  16. Taner Bilgiç, I. Burhan Türkşen
    Pages 252-265

About these proceedings


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.


Artificial intelligence computer vision data mining fuzzy fuzzy logic fuzzy system fuzzy systems image processing intelligence intelligent systems learning logic machine learning

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