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Knowledge Processing with Interval and Soft Computing

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 eff...

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Bibliographic Details
Other Authors: Hu, Chenyi (Editor), Baker Kearfott, R. (Editor), de Korvin, Andre (Editor), Kreinovich, Vladik (Editor)
Format: eBook
Language:English
Published: London Springer London 2008, 2008
Edition:1st ed. 2008
Series:Advanced Information and Knowledge Processing
Subjects:
Computer Science / Mathematics
Discrete Mathematics In Computer Science
Artificial Intelligence
Data Mining
Application Software
Data Mining And Knowledge Discovery
Applications Of Mathematics
Discrete Mathematics
Computer And Information Systems Applications
Mathematics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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;

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