Knowledge Processing with Interval and Soft Computing

by Chenyi Hu (Editor), R. Baker Kearfott (Editor), Andre de Korvin (Editor), Vladik Kreinovich (Editor)

Overview

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.

Product Details

ISBN-13:	9781849967846
Publisher:	Springer London
Publication date:	12/10/2010
Series:	Advanced Information and Knowledge Processing
Edition description:	Softcover reprint of hardcover 1st ed. 2008
Pages:	233
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

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;.