Advances in Fuzzy Decision Making Theory and Practice /

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathe...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Skalna, Iwona (Autor), Rębiasz, Bogdan (Autor), Gaweł, Bartłomiej (Autor), Basiura, Beata (Autor), Duda, Jerzy (Autor), Opiła, Janusz (Autor), Pełech-Pilichowski, Tomasz (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Fuzziness and Soft Computing, 333
Temas:
Computational intelligence.
Industrial Management.
Operations research.
Computational Intelligence.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fuzzy Numbers
  • Ordering of Fuzzy Numbers
  • Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence
  • Multi-Attribute Decision Making Process and its Application
  • Risk Assessment in the Presence of Uncertainty
  • Application of Fuzzy Theory in Steel Production Planning and Scheduling
  • Application of Fuzzy Decision Trees in Analog Forecasting
  • Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data.

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