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Mathematics Of Data Fusion (Cód: 6108855)

Hung T. Nguyen; I.R. Goodman; R.P. Mahler

SPRINGER VERLAG POD

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Mathematics Of Data Fusion

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Descrição

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.

Características

Peso 0.45 Kg
Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
I.S.B.N. 9780792346746
Referência 9780792346746
Altura 23.40 cm
Largura 15.60 cm
Profundidade 2.86 cm
Número de Páginas 524
Idioma Inglês
Cód. Barras 9780792346746
Ano da edição 1997
Autor Hung T. Nguyen; I.R. Goodman; R.P. Mahler