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| 003 | ES-MaUEC | ||
| 005 | 20230102113944.0 | ||
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| 008 | 200305s2020 gw | s |||| 0|eng d | ||
| 020 | _a9783030388935 | ||
| 024 | 7 |
_a10.1007/978-3-030-38893-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA9.64 _b2020 EB |
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| 245 | 0 | 0 |
_aRecent Developments in Fuzzy Logic and Fuzzy Sets : _bDedicated to Lotfi A. Zadeh _cedited by Shahnaz N. Shahbazova, Michio Sugeno, Janusz Kacprzyk. |
| 250 | _aFirst edition 2020. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2020. |
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| 300 |
_a1 recurso en línea (VI, 211 páginas) _b72 ilustraciones, 18 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aArchivo de texto _bPDF |
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| 490 | 0 |
_aStudies in Fuzziness and Soft Computing _x1434-9922 _v391 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aChapter 1: Fuzziness in Information Extracted from Tweets' Hashtag and Keywords -- Chapter 2: Why Triangular and Trapezoid Membership Functions: A Simple Explanation -- Chapter 3: Probabilistic and More General Uncertainty-Based (e.g., Fuzzy) Approaches to Crisp Clustering Explain the Empirical Success of the K-Sets Algorithm -- Chapter 4: Statistical Approach to Fuzzy Cognitive Maps -- Chapter 5: Semi-Supervised Learning to Rank with Nonlinear Preference Model. | |
| 520 | 3 | _aThis book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh's closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research. | |
| 988 | _aSpringer_Robotics_31032020 | ||
| 650 | 7 |
_2embne _aLógica difusa _9152594 |
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| 700 | 1 |
_aShahbazova, Shahnaz N _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aSugeno, Michio _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aKacprzyk, Janusz _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030388928 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030388942 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030388959 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-38893-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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_b05/2020 _dz _eh _zSI |
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