000			03427nam a22005415i 4500
999			_c200457925 _d76137
003			TR-AnTOB
005			20231120134251.0
007			cr nn 008mamaa
008			220328s2022 sz | s |||| 0|eng d
020			_a9783030877903
024	7		_a10.1007/978-3-030-87790-3 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aT58.62
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
090			_aT58.62EBK
100	1		_aSànchez-Marrè, Miquel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aIntelligent Decision Support Systems _h[electronic resource] / _cby Miquel Sànchez-Marrè.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPART I FUNDAMENTALS -- Introduction -- Decisions -- Evolution of Decision Support Systems -- PART II INTELLIGENT DECISION SUPPORT SYSTEMS -- Intelligent Decision Support Systems (IDSS) -- Model-driven Intelligent Decision Support -- Data-driven Intelligent Decision Support -- The use of Intelligent Models in Decision Support -- PART III DEVELOPMENT AND APPLICATION OF IDSS -- Tools for IDSS Development -- Advanced IDSS Topics and Applications -- Summary, Open Challenges and Concluding Remarks.
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		0	_aArtificial intelligence.
650		0	_aOperations research.
650		0	_aApplication software.
650		0	_aTelecommunication.
650		0	_aIndustrial Management.
650	1	4	_aArtificial Intelligence.
650	2	4	_aOperations Research and Decision Theory.
650	2	4	_aComputer and Information Systems Applications.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aIndustrial Management.
653		0	_aDecision support systems
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-030-87790-3 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK