Mathematics of Data Fusion (Theory and Decision Library B 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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I.R. Goodman 作者

Springer

译者

1997-08-31 出版日期

520 页数

USD 348.00 价格

Hardcover

丛书系列

9780792346746 图书编码

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Mathematics of Data Fusion (Theory and Decision Library B 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Mathematics of Data Fusion (Theory and Decision Library B 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Mathematics of Data Fusion (Theory and Decision Library B 在线电子书图书描述

Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.

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