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Mathematics of Data Fusion - I. R. Goodman
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I. R. Goodman:

Mathematics of Data Fusion - new book

ISBN: 9780792346746

[ED: Buch], [PU: Springer Netherlands], Neuware - Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications,… More...

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Mathematics of Data Fusion I.R. Goodman Author
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Mathematics of Data Fusion I.R. Goodman Author - new book

ISBN: 9780792346746

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, … More...

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Mathematics of Data Fusion - Goodman, I.R. Mahler, R.P. Hung T. Nguyen
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Goodman, I.R. Mahler, R.P. Hung T. Nguyen:
Mathematics of Data Fusion - new book

1997

ISBN: 9780792346746

Springer, Relié, Auflage: 1997 ed. 508 Seiten, Publiziert: 1997-08-31T00:00:01Z, Produktgruppe: Livre, 4.41 kg, Livres anglais et étrangers, Boutiques, Livres, Intelligence artificielle, … More...

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Mahler R.P. Goodman I.R.:
Mathematics of Data Fusion - hardcover

1997, ISBN: 0792346742

[EAN: 9780792346746], Nouveau livre, [SC: 10.26], [PU: Springer], Print on Demand pp. 524 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam, Books

NEW BOOK. Shipping costs: EUR 10.26 Majestic Books, Hounslow, United Kingdom [51749587] [Note: 4 (sur 5)]
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Goodman, I.R.; Mahler, R.P.; Hung T. Nguyen:
Mathematics of Data Fusion (Theory and Decision Library B, 37) - hardcover

ISBN: 9780792346746

Springer, 1997-08-31. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Springer, 1997-08-31, 6

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Mathematics of Data Fusion I.R. Goodman Author

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.

Details of the book - Mathematics of Data Fusion I.R. Goodman Author


EAN (ISBN-13): 9780792346746
ISBN (ISBN-10): 0792346742
Hardcover
Publishing year: 1997
Publisher: Springer Netherlands Core >2
524 Pages
Weight: 0,941 kg
Language: eng/Englisch

Book in our database since 2007-03-21T07:18:22-04:00 (New York)
Detail page last modified on 2024-01-05T15:32:16-05:00 (New York)
ISBN/EAN: 0792346742

ISBN - alternate spelling:
0-7923-4674-2, 978-0-7923-4674-6
Alternate spelling and related search-keywords:
Book author: ronald goodman, nguyen, mhler paul, tactical, mahler, irwin goodman, hung
Book title: mathematical, mathematics data fusion, theory and decision library, mahler


Information from Publisher

Author: I.R. Goodman; R.P. Mahler; Hung T. Nguyen
Title: Theory and Decision Library B; Mathematics of Data Fusion
Publisher: Springer; Springer Netherland
508 Pages
Publishing year: 1997-08-31
Dordrecht; NL
Language: English
128,39 € (DE)
131,99 € (AT)
142,00 CHF (CH)
Available
XII, 508 p.

BB; Hardcover, Softcover / Mathematik/Sonstiges; Angewandte Mathematik; Verstehen; Algebra; calculus; expert system; fuzzy; fuzzy logic; mathematics; natural language; set theory; statistics; systems theory; uncertainty; Applications of Mathematics; Artificial Intelligence; Statistics; Künstliche Intelligenz; Wahrscheinlichkeitsrechnung und Statistik; BC; EA

1 Introduction.- 1.1 What is Data Fusion?.- 1.2 Random Set Theory.- 1.3 Conditional and Relational Event Algebra.- I Introduction to Data Fusion.- 2 Data Fusion and Standard Techniques.- II The Random Set Approach to Data Fusion.- 3 Foundations of Random Sets.- 4 Finite Random Sets.- 5 Finite-Set Statistics.- 6 Fusion of Unambiguous Observations.- 7 Fusion of Ambiguous Observations.- 8 Output Measurement.- III Use of Conditional and Relational Events in Data Fusion.- 9 Introduction to the Conditional and Relational Event Algebra Aspects of Data Fusion.- 10 Potential Application of Conditional Event Algebra to Combining Conditional Information.- 11 Three Particular Conditional Event Algebras.- 12 Further Development of Product Space Conditional Event Algebra.- 13 Product Space Conditional Event Algebra as a Tool for Further Analysis of Conditional Event Algebra Issues.- 14 Testing of Hypotheses for Distinctness of Events and Event Similarity Issues.- 15 Testing Hypotheses And Estimation Relative To Natural Language Descriptions.- 16 Development of Relational Event Algebra Proper to Address Data Fusion Problems.

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