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| 999 |
_c384106 _d384106 |
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| 001 | 384106 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122224.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220328s2022 sz a o |||| 0|eng d | ||
| 020 | _a9783030877903 | ||
| 024 | 7 |
_a10.1007/978-3-030-87790-3 _2doi |
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| 040 |
_bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aT58.62 _b2022 EB |
|
| 100 | 1 |
_aSànchez-Marrè, M. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685628 _q(Miquel) |
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| 245 | 1 | 0 |
_aIntelligent Decision Support Systems _cby Miquel Sànchez-Marrè |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (XXX, 806 páginas) _b271 ilustraciones, 198 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 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. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9141176 _aToma de decisiones |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030877897 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030877910 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030877927 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87790-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b12/2022 _dz _eb _zSI |
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