Editors:
- Provides necessary theoretical foundations for applying interval and soft computing in artificial intelligence and knowledge processing (AIKP)
- Includes applicable algorithms that can be used to solve AIKP problems
- Presents successful applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Dept. Computer Science, University of Texas, El Paso, USA
Vladik Kreinovich
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Dept. Computer &, University of Houston-Downtown, Houston, USA
Andre Korvin
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Dept. Mathematics, University of Louisiana, Lafayette , Lafayette, USA
R. Baker Kearfott
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Computer Science Department, University of Central Arkansas, Conway, USA
Chenyi Hu
Bibliographic Information
Book Title: Knowledge Processing with Interval and Soft Computing
Editors: Vladik Kreinovich, Andre Korvin, R. Baker Kearfott, Chenyi Hu
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-84800-326-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-325-5Published: 30 September 2008
Softcover ISBN: 978-1-84996-784-6Published: 22 October 2010
eBook ISBN: 978-1-84800-326-2Published: 03 April 2009
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XII, 233
Number of Illustrations: 61 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Applications of Mathematics, Discrete Mathematics in Computer Science, Artificial Intelligence