Advertisement

Knowledge Processing with Interval and Soft Computing

  • Vladik Kreinovich
  • Andre Korvin
  • R. Baker Kearfott
  • Chenyi Hu
Book

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Ralph Baker Kearfott, Chenyi Hu
    Pages 1-12
  3. Andre de Korvin, Hong Lin, Plamen Simeonov
    Pages 13-74
  4. Chenyi Hu, R. Baker Kearfott
    Pages 99-117
  5. Chenyi Hu, Ling T He, Shanying Xu
    Pages 119-134
  6. W. Dwayne Collins, Chenyi Hu
    Pages 147-165
  7. Chenyi Hu, Ping Hu
    Pages 167-182
  8. Daniel Berleant, Gary Anderson, Chaim Goodman-Strauss
    Pages 183-210
  9. Back Matter
    Pages 1-5

About this book

Introduction

Massive datasets, made available today by modern technologies, present a significant challenge to scientists who need to effectively and efficiently extract relevant knowledge and information.

Due to their ability to model uncertainty, interval and soft computing techniques have been found to be effective in this extraction. This book provides coverage of the basic theoretical foundations for applying these techniques to artificial intelligence and knowledge processing.

The first three chapters provide the background needed for those who are unfamiliar with interval and soft computing techniques. The following chapters describe innovative algorithms and their applications to knowledge processing.

In particular, these chapters cover computing techniques for interval linear systems of equations, interval matrix singular-value decomposition, interval function approximation, and decision making with statistical and graph-based data processing. To enable these applications, the book presents a standards-based object-oriented interval computing environment in C++.

By providing the necessary background and summarizing recent results and successful applications, this self-contained book will serve as a useful resource for researchers and practitioners wanting to learn interval and soft computing techniques and apply them to artificial intelligence and knowledge processing.

Keywords

Data mining Decision making systems Flow networks Fuzzy Game theory Graph Interval computing Interval valued datasets Soft computing algorithms artificial intelligence fuzzy logic intelligence knowledge discovery logic

Editors and affiliations

  • Vladik Kreinovich
    • 1
  • Andre Korvin
    • 2
  • R. Baker Kearfott
    • 3
  • Chenyi Hu
    • 4
  1. 1.Dept. Computer ScienceUniversity of TexasEl PasoUSA
  2. 2.Dept. Computer &University of Houston-DowntownHoustonUSA
  3. 3.Dept. MathematicsUniversity of Louisiana, Lafayette LafayetteUSA
  4. 4.Computer Science DepartmentUniversity of Central ArkansasConwayUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-326-2
  • Copyright Information Springer-Verlag London 2008
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-325-5
  • Online ISBN 978-1-84800-326-2
  • Series Print ISSN 1610-3947
  • Series Online ISSN 2197-8441
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering