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.
Edited by:
Chenyi Hu, R. Baker Kearfott, Andre de Korvin, Vladik Kreinovich Imprint: Springer London Ltd Country of Publication: United Kingdom Edition: Softcover reprint of hardcover 1st ed. 2008 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 13mm
Weight: 454g ISBN:9781849967846 ISBN 10: 1849967849 Series:Advanced Information and Knowledge Processing Pages: 233 Publication Date:22 October 2010 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active
Fundamentals of Interval Computing.- Soft Computing Essentials.- Relations Between Interval Computing and Soft Computing.- Interval Matrices in Knowledge Discovery.- Interval Function Approximation and Applications.- Interval Rule Matrices for Decision Making.- Interval Matrix Games.- Interval-Weighted Graphs and Flow Networks.- Arithmetic on Bounded Families of Distributions A Denv Algorithm Tutorial.- IntBox An Object-Oriented Interval Computing Software Toolbox in C#x002B;#x002B;.