| 000 | 02704nam a22003735i 4500 | ||
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| 001 | 393980 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123045.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220916s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031099748 | ||
| 024 | 7 |
_a10.1007/978-3-031-09974-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 100 | 1 |
_aKreinovich, Vladik _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aTowards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques _cby Vladik Kreinovich |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (X, 130 páginas) _b31 illus |
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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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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-9503 _v1047 |
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| 505 | 0 | _aWhy Explainable AI? Why Fuzzy Explainable AI? What Is Fuzzy? -- Defuzzification -- Which Fuzzy Techniques? -- So How Can We Design Explainable Fuzzy AI: Ideas -- How to Make Machine Learning Itself More Explainable -- Final Self-Test. | |
| 520 | _aModern AI techniques -- especially deep learning -- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI. | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9783031099731 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031099755 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031099762 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-09974-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Robotics_2022 | ||
| 999 |
_c393980 _d393980 |
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