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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hu, Chenyi (Editor ), Baker Kearfott, R. (Editor ), de Korvin, Andre (Editor ), Kreinovich, Vladik (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Advanced Information and Knowledge Processing,
Temas:
Data mining.
Application software.
Mathematics.
Computer science-Mathematics.
Discrete mathematics.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Applications of Mathematics.
Discrete Mathematics in Computer Science.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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