| 书目名称 | Mathematics of Data Fusion | | 编辑 | I. R. Goodman,Ronald P. S. Mahler,Hung T. Nguyen | | 视频video | | | 丛书名称 | Theory and Decision Library B | | 图书封面 |  | | 描述 | Data fusion or information fusion are names which have beenprimarily assigned to military-oriented problems. In militaryapplications, typical data fusion problems are: multisensor,multitarget detection, object identification, tracking, threatassessment, mission assessment and mission planning, among manyothers. However, it is clear that the basic underlying conceptsunderlying such fusion procedures can often be used in nonmilitaryapplications as well. The purpose of this book is twofold: First, topoint out present gaps in the way data fusion problems areconceptually treated. Second, to address this issue by exhibitingmathematical tools which treat combination of evidence in the presenceof uncertainty in a more systematic and comprehensive way. Thesetechniques are based essentially on two novel ideas relating toprobability theory: the newly developed fields of .random. .settheory. and .conditional and relational event algebra.. .This volume is intended to be both an update on research progress ondata fusion and an introduction to potentially powerful newtechniques: .fuzzy logic, random set theory, and conditional and..relational event algebra.. ..Audience:. This volume can be used a | | 出版日期 | Book 1997 | | 关键词 | Algebra; calculus; expert system; fuzzy; fuzzy logic; mathematics; natural language; set theory; statistics; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-8929-1 | | isbn_softcover | 978-90-481-4887-5 | | isbn_ebook | 978-94-015-8929-1 | | copyright | Springer Science+Business Media B.V. 1997 |
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发表于 2025-3-21 20:05:48
