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Mathematics of Data Fusion

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Springer, Aug 31, 1997 - Mathematics - 507 pages
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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Contents

II
1
III
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IV
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V
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VI
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VII
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VIII
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X
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LXXXI
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LXXXII
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LXXXIII
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LXXXIV
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LXXXV
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LXXXVI
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LXXXVIII
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LXXXIX
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XIV
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XVI
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XXXI
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XXXII
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XXXIII
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XXXIV
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XLI
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LI
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LVIII
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LIX
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LXI
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LXXI
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LXXIV
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CXXX
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CXXXIV
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CXXXVI
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CXXXVIII
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CXXXIX
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CXLI
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CXLIX
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CL
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CLI
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CLII
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CLIV
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References from web pages

Mathematics of Data Fusion
Mathematics of Data Fusion. Mathematics of Data Fusion. Purchase this Book · Purchase this Book. Source. Pages: 507. Medium: Hardcover ...
portal.acm.org/ citation.cfm?id=549931

Mathematics of Data Fusion - Applications of Mathematics Journals ...
Mathematics of Data Fusion - Applications. Data fusion or information fusion are names which have been primarily assigned to military-oriented problems.
www.springer.com/ math/ applications/ book/ 978-0-7923-4674-6

Tmecca : Mathematics of Data Fusion by ir Goodman ( Kluwer ...
Mathematics Of Data Fusion. 정가, 417600원. 판매가, 417600원 + 수수료 (0% DC). 적립금, 8300(2%). ISBN10, 0792346742. ISBN13, 9780792346746 ...
tmeca.com/ detail/ detail_book.html?isbn=9780792346746

Why Multi-Source, Multi-Target Data Fusion is Tricky
These results were reported in Mathematics of Data Fusion. [6 pp. 194-205]. ..... S. Mahler, and H. T .Nguyen (1997) Mathematics of Data Fusion, Kluwer ...
www.stormingmedia.us/ 00/ 0022/ A002293.pdf

book mathematics of data fusion (theory and decision library b, 37 ...
book undergraduate level (part ii) - engineering colleges et general titles on artificial intelligence : the purpose of this book is twofold : first, ...
www.lavoisier.fr/ notice/ gb059057.html

S0103-175920070001 Sba: Controle & Automação Sociedade Brasileira ...
... and Its Applications Gold Coast Goodman ir Mahler rps Nguyen ht Mathematics of Data Fusion Mathematics of Data Fusion 1997 Kluwer Academic Publ. ...
artigos.scielo.br/ S0103-175920070001.xml

条件事件代数研究综述
[29]Goodman ir, Mahler rps, Nguyen H T.Mathematics of Data Fusion. Dordrecht:Kluwer Academic Publishers,1997 [30]Goodman ir, Kramer G F. Decision theory ...
scholar.ilib.cn/ Abstract.aspx?A=jsjxb200306002

WCICA 2006 Paper
Random Set Method of Information Fusion under. Uncertainty. Dongliang Peng, Le Zhang, Chenglin Wen, Yuesong Lin, Anke Xue ...
ieeexplore.ieee.org/ iel5/ 11210/ 36091/ 01713145.pdf

livre mathematics of data fusion (theory and decision library b ...
Mathematics of data fusion (theory and decision library B, 37). Auteur(s) : GOODMAN ir Date de parution: 09-1997 Langue : ANGLAIS 508p. 16x24.5 Hardback ...
www.lavoisier.fr/ notice/ fr059057.html

随机集理论及其在信息融合中的应用Random set and its applications in ...
[10] Goodman I, Mahler R, and Nguyen H. Mathematics of Data Fusion. Kluwer Academic Publishers, Dordrecht, 1997. [11] Mahler R. An introduction to ...
www.zdxk.cn/ download.asp?downloadid=3089

About the author (1997)

Ronald P.S. Mahler is a staff scientist at Lockheed Martin MS2 Tactical Systems with over 25 years of industry experience. He earned his B.E.E. degree at the University of Minnesota and his Ph.D. in Mathematics at Brandeis University. He has served on technology planning workshops for many prominent organizations, including the Electronics Division of the Army Research Office. Dr. Mahler was also a reviewer of the DARPA Dynamic Data Base (DDB) project.

Nguyen, New Mexico State University, Las Cruces