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This volume constitutes the thoroughly refereed post-workshop
proceedings of an international workshop on fuzzy logic in
Artificial Intelligence held in Negoya, Japan during IJCAI
'97.
The 17 revised full papers presented have gone through two rounds
of reviewing and revision. Three papers by leading authorities in
the area are devoted to the general relevance of fuzzy logic and
fuzzy sets to AI. The remaining papers address various relevant
issues ranging from theory to application in areas like knowledge
representation, induction, logic programming, robotics, pattern
recognition, etc.
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.
This volume contains the thoroughly refereed and revised papers
accepted for presentation at the IJCAI '91 Workshops on Fuzzy Logic
and Fuzzy Control, held during the International Joint Conference
on AI at Sydney, Australia in August 1991. The 14 technical
contributions are devoted to several theoretical and applicational
aspects of fuzzy logic and fuzzy control; they are presented in
sections on theoretical aspects of fuzzy reasoning and fuzzy
control, fuzzy neural networks, fuzzy control applications, fuzzy
logic planning, and fuzzy circuits. In addition, there is a
substantial introduction by the volume editors on the latest
developments in the field that brings the papers presented into
line.
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