| 000 | 03246nam a22004335c 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c115398 _d115398 _x1 |
||
| 001 | 115398 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040233.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190828s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030254322 | ||
| 024 | 7 |
_a10.1007/978-3-030-25432-2 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQA76.9 .S63 _b2020 EB |
|
| 100 | 1 |
_aTrujillo-Cabezas, Raúl _eautor _9671786 |
|
| 245 | 1 | 0 |
_aIntegrating soft computing into strategic prospective methods : _btowards an adaptive learning environment supported by futures studies _cby Raúl Trujillo-Cabezas, José Luis Verdegay |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020 |
|
| 300 | _a1 recurso en línea (XXII, 230 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aStudies in Fuzziness and Soft Computing _x1434-9922 _v387 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aIntroduction -- Strategic Prospective: Definitions and Key Concepts -- Fuzzy Optimization and Reasoning Approaches -- Constructing Models -- Modeling and Simulation of the Future -- Experimental Applications: An Overview of New Ways -- Meta-Prospective Toolbox -- A Cloud Environment: A first demo. | |
| 520 | 3 | _aThis book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this. | |
| 650 | 7 |
_2embne _9166276 _aSoft Computing |
|
| 650 | 7 |
_2embne _aToma de decisiones _9141176 |
|
| 700 | 1 |
_aVerdegay, José Luis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030254315 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030254339 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030254346 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-25432-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
||