| 书目名称 | Uncertainty Modelling in Data Science | | 编辑 | Sébastien Destercke,Thierry Denoeux,Olgierd Hrynie | | 视频video | | | 概述 | Presents the latest research on data analysis and soft computing.Includes outcomes of the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018) held in Compiègne, Fran | | 丛书名称 | Advances in Intelligent Systems and Computing | | 图书封面 |  | | 描述 | .This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair..Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs..The advances | | 出版日期 | Conference proceedings 2019 | | 关键词 | Computational Intelligence; Intelligent Data Analysis; Soft Computing; SMPS 2018; Statistics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-97547-4 | | isbn_softcover | 978-3-319-97546-7 | | isbn_ebook | 978-3-319-97547-4Series ISSN 2194-5357 Series E-ISSN 2194-5365 | | issn_series | 2194-5357 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 16:51:36
