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ISBN: 9780792346746
ID: 6386181
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. 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. Books, Science and Geography~~Mathematics~~Mathematical Foundations, Mathematics Of Data Fusion~~Book~~9780792346746~~Irwin R. Goodman, Hung T Nguyen, , , , , , , , , ,, [PU: Kluwer Academic Publishers]
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MPN: , SKU 6386181 Frais d'envoizzgl. Versandkosten, Livraison non-comprise
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ISBN: 0792346742
ID: 10539018646
[EAN: 9780792346746], Neubuch, [PU: Springer], HUNG T. NGUYEN,I. R. GOODMAN,R. P. MAHLER,ARTIFICIAL INTELLIGENCE,THEORY OF COMPUTING,STATISTICS, Hardcover. 508 pages. Dimensions: 9.7in. x 6.6in. x 1.3in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Abebooks.de
BuySomeBooks, Las Vegas, NV, U.S.A. [52360437] [Rating: 5 (von 5)]
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1997
ISBN: 0792346742
ID: 9814148361
[EAN: 9780792346746], Neubuch, [PU: Springer Aug 1997], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; AI ( ); MATHEMATIK; STATISTIK, This item is printed on demand - Print on Demand Titel. Neuware - 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. 524 pp. Englisch
Abebooks.de
AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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ISBN: 9780792346746
ID: 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, 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. weltbild.at > Bücher > Wissenschaft & Technik > Fachbücher Technik, [PU: Kluwer Academic Publishers]
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ISBN: 9780792346746
ID: 736398449
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. weltbild.at > Bücher > Wissenschaft & Technik > Fachbücher Technik, [PU: Kluwer Academic Publishers]
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Titre: | Mathematics of Data Fusion |
ISBN: | 0792346742 |
Informations détaillées sur le livre - Mathematics of Data Fusion
EAN (ISBN-13): 9780792346746
ISBN (ISBN-10): 0792346742
Version reliée
Date de parution: 1997
Editeur: Springer-Verlag GmbH
524 Pages
Poids: 0,941 kg
Langue: eng/Englisch
Livre dans la base de données depuis 21.03.2007 12:18:22
Livre trouvé récemment le 06.05.2016 16:41:11
ISBN/EAN: 0792346742
ISBN - Autres types d'écriture:
0-7923-4674-2, 978-0-7923-4674-6
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