Mathematics of Data Fusion PDF
By:I.R. Goodman,R.P. Mahler,Hung T. Nguyen
Published on 1997-08-31 by Springer Science & Business Media
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 Book was ranked at 31 by Google Books for keyword mathematics about sets.
Book ID of Mathematics of Data Fusion's Books is Q5UZ9xwXPMwC, Book which was written byI.R. Goodman,R.P. Mahler,Hung T. Nguyenhave ETAG "Da/buk8mHMA"
Book which was published by Springer Science & Business Media since 1997-08-31 have ISBNs, ISBN 13 Code is 9780792346746 and ISBN 10 Code is 0792346742
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Book which have "508 Pages" is Printed at BOOK under CategoryMathematics
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