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Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality - Computational Methods for Industrial Applications
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Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality - Computational Methods for Industrial Applications
This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Pendiente de lanzamiento | 20 de julio de 2026 |
| ISBN13 | 9781032997957 |
| Editores | Taylor & Francis Ltd |
| Páginas | 310 |
| Dimensiones | 150 × 220 × 10 mm · 453 g |
| Editor | Bhattacharya, Pronaya (Amity University, Kolkata, India) |
| Editor | Khanday, Akib Mohi Ud Din |
| Editor | Wajid, Mohammad Saif (TECNOLOGICO DE MONTERREY, MEXICO) |
| Editor | Wajid, Mohd Anas |
| Editor | Zafar, Aasim (Aligarh Muslim University, India) |
