Knowledge Processing with Interval and Soft Computing

By: Chenyi Hu (Editor), R. Baker Kearfott (Editor), Andre de Korvin (Editor)

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Hardcover | 30 September 2008

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Hardcover
248 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Programming & Software Development Algorithms & Data Structures Data Capture & Analysis Computer Science Artificial Intelligence Mathematics Applied Mathematics

Preface	p. V
List of Contributors	p. XI
Fundamentals of Interval Computing	p. 1
Soft Computing Essentials	p. 13
Relations Between Interval Computing and Soft Computing	p. 75
Interval Matrices in Knowledge Discovery	p. 99
Interval Function Approximation and Applications	p. 119
Interval Rule Matrices for Decision Making	p. 135
Interval Matrix Games	p. 147
Interval-Weighted Graphs and Flow Networks	p. 167
Arithmetic on Bounded Families of Distributions: A DEnv Algorithm Tutorial	p. 183
IntBox: An Object-Oriented Interval Computing Software Toolbox in C++	p. 211
Index	p. 229
Table of Contents provided by Ingram. All Rights Reserved.

Knowledge Processing with Interval and Soft Computing

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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