| 书目名称 | Information Quality in Information Fusion and Decision Making |
| 编辑 | Éloi Bossé,Galina L. Rogova |
| 视频video | |
| 概述 | Introduces a comprehensive ontology of information quality.Outlines methods of incorporating information quality in fusion processes.Provides a discussion on the relationships between information fusi |
| 丛书名称 | Information Fusion and Data Science |
| 图书封面 |  |
| 描述 | .This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is...By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making |
| 出版日期 | Book 2019 |
| 关键词 | uncertainty characterization; recognizing unreliable data; QoI measurement; Belief Function Theory; inte |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-03643-0 |
| isbn_ebook | 978-3-030-03643-0Series ISSN 2510-1528 Series E-ISSN 2510-1536 |
| issn_series | 2510-1528 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:57:41
