| 书目名称 | Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Are | | 副标题 | In Honor of Hung T. | | 编辑 | Vladik Kreinovich | | 视频video | | | 概述 | Celebrates the 75th birthday of Hung T. Nguyen.Reflects many of Hung T. Nguyen’s areas of research.Presents state-of-the-art research on Statistical and Fuzzy Approaches to Data Processing | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers – which help us understand real-life processes and make better decisions based on that understanding – get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for researchers and students interested in the latest results and challenges in uncertainty, as well as practitioners who want to learn how to use the corresponding state-of-the-art techniques. | | 出版日期 | Book 2021 | | 关键词 | Fuzzy Systems; Fuzziness; Data Processing; Uncertainty; Hung T; Nguyen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-45619-1 | | isbn_softcover | 978-3-030-45621-4 | | isbn_ebook | 978-3-030-45619-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:58:38
