{
"item_title" : "Fuzzy Logic in Artificial Intelligence",
"item_author" : [" Trevor Martin", "Anca L. Ralescu "],
"item_description" : "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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Fuzzy Logic in Artificial Intelligence : Towards Intelligent Systems: Ijcai '95 Workshop, Montreal, Canada, August 19-21, 1995, Selected Papers
by Trevor Martin and Anca L. Ralescu
Overview
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 item is Non-Returnable
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Details
- ISBN-13: 9783540624745
- ISBN-10: 3540624740
- Publisher: Springer
- Publish Date: January 1997
- Dimensions: 9.21 x 6.14 x 0.61 inches
- Shipping Weight: 0.91 pounds
- Page Count: 282
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