Intelligent Decision Support Systems

This book explores the potential of intelligent techniques in decision-making processes, covering classical decision theory, modeling methods, and knowledge models. It emphasizes the Data Science process and uncertainty models in AI, and discusses recommender systems and development tools.

Format: Hardback
Length: 806 pages
Publication date: 29 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book, enriched by the invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, delves into the potential application and implementation of intelligent techniques in decision-making processes within organizations and companies. It offers a thorough analysis of decision-making, encompassing classical decision theory and exploring common methods for modeling the decision process. The book traces the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems to the emergence of Intelligent Decision Support Systems (IDSS). It elucidates the most commonly employed intelligent techniques, both data-driven and model-driven, and showcases their application through case studies. The author emphasizes the entire Data Science process, which generates intelligent data-driven models in IDSS. Furthermore, the book delves into primary uncertainty models used in Artificial Intelligence to simulate imprecision, covers recommender systems, and provides an overview of available development tools for inducing data-driven models, utilizing model-driven methods, and facilitating the development of Intelligent Decision Support Systems.

Weight: 1412g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030877897
Edition number: 1st ed. 2022