Intelligent Decision Support Systems



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Éditeur :

Springer


Paru le : 2022-03-28



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Description

This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.
Pages
806 pages
Collection
n.c
Parution
2022-03-28
Marque
Springer
EAN papier
9783030877897
EAN PDF
9783030877903

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
80
Taille du fichier
24484 Ko
Prix
105,49 €
EAN EPUB
9783030877903

Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
80
Taille du fichier
69652 Ko
Prix
105,49 €

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