000			a
999			_c33059 _d33059
008			240319b xxu||||| |||| 00| 0 eng d
020			_a9783030877927
082			_a006.3 _bSAN
100			_aSanchez-Marre, Miquel
245			_aIntelligent decision support systems
260			_bSpringer, _c2022 _aCham :
300			_axxx, 806 p. ; _bill., (some col.), _c24 cm
365			_b99.99 _c€ _d93.50
504			_aIncludes bibliographical references and index.
520			_aThis 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 using model-driven methods and for aiding the development of Intelligent Decision Support Systems.
650			_aAgents intelligents
650			_aArtificial intelligence
650			_aDecision support systems
650			_aComputer software
942			_2ddc _cBK