| 期刊全称 | Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their | | 影响因子2023 | Olga Kosheleva,Sergey P. Shary,Roman Zapatrin | | 视频video | | | 发行地址 | This book is about going beyond traditional probabilistic data processing techniques, to pursue interval, fuzzy, etc. methods – how to do it, and what the applications of the resulting non-traditional | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. .In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitablefor graduate students. . | | Pindex | Book 2020 |
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书目名称Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their 影响因子(影响力)
书目名称Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their 影响因子(影响力)学科排名
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发表于 2025-3-21 16:06:22
