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| 001 | 362260 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240111050216.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 210407s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030710989 | ||
| 024 | 7 |
_a10.1007/978-3-030-71098-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ335 _b2021 EB |
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| 100 | 1 |
_aAlonso Moral, José María _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681697 |
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| 245 | 1 | 0 |
_aExplainable Fuzzy Systems _bPaving the Way from Interpretable Fuzzy Systems to Explainable AI Systems / _cby Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, Corrado Mencar. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Pulishing _c2021 |
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| 300 |
_a1 recurso en línea (XXXI, 232 páginas) _b57 ilustraciones, 31 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 Computational Intelligence _x1860-9503 _v970 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aToward Explainable Artificial Intelligence through Fuzzy Systems -- An Overview of Fuzzy Systems -- Interpretability Constraints and Criteria for Fuzzy Systems -- Revisiting Indexes for Assessing Interpretability of Fuzzy Systems -- Designing Interpretable Fuzzy Systems. | |
| 520 | 3 | _aThe importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
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| 700 |
_aCastiello, Ciro _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681698 |
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| 700 |
_aMagdalena, Luis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681699 |
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| 700 |
_aMencar, Corrado _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681700 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030710972 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030710996 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030711009 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71098-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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