Intelligent Decision Support Systems

Beschreibung

This book 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 usingmodel-driven methods and for aiding the development of Intelligent Decision Support Systems

Presents the emergent interdisciplinary field of Intelligent Decision Support Systems (IDSS)

Show how to analyze, to design, to implement, and to validate IDSS in complex systems

Provide a comprehensive description of current issues in integration of different intelligent/numerical/statistical methods

Autor*in

Miquel Sànchez-Marrè

Themen in »Intelligent Decision Support Systems«

Intelligent Decision Support Systems Recommender Systems Intelligent Models Validating IDSS in complex systems Intelligent Techniques in Decision Making Modeling Decision Processes Data-Driven Models in IDSS Uncertainty Models in Artificial Intelligence

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