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Item Details
| Title:
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KNOWLEDGE PROCESSING WITH INTERVAL AND SOFT COMPUTING
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| By: |
Chenyi Hu (Editor), R. Baker Kearfott (Editor), Andre De Korvin (Editor) |
| Format: |
Paperback |
| List price:
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£123.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1849967849 |
| ISBN 13: |
9781849967846 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
22 October, 2010 |
| Edition: |
1st ed. Softcover of orig. ed. 2008 |
| Series: |
Advanced Information and Knowledge Processing |
| Pages: |
233 |
| Description: |
Interval computing combined with fuzzy logic is an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications. This accessible book, a must-read for those in AI, provides introductions for both interval and fuzzy computing. |
| Synopsis: |
Interval computing combined with fuzzy logic has become an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications since it models uncertainties frequently raised in the field. This book provides introductions for both interval and fuzzy computing in a very accessible style. Application algorithms covered in this book include quantitative and qualitative data mining with interval valued datasets, decision making systems with interval valued parameters, interval valued Nash games and interval weighted graphs. Successful applications in studying finance and economics, etc are also included. This book can serve as a handbook or a text for readers interested in applying interval and soft computing for AIKP. |
| Illustrations: |
61 black & white illustrations, 22 black & white tables, biography |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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