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Table of contents (16 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Mathematics of Data Fusion
Authors: I. R. Goodman, Ronald P. S. Mahler, Hung T. Nguyen
Series Title: Theory and Decision Library B
DOI: https://doi.org/10.1007/978-94-015-8929-1
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media B.V. 1997
Hardcover ISBN: 978-0-7923-4674-6Published: 31 August 1997
Softcover ISBN: 978-90-481-4887-5Published: 07 December 2010
eBook ISBN: 978-94-015-8929-1Published: 14 March 2013
Edition Number: 1
Number of Pages: XII, 508
Topics: Applications of Mathematics, Artificial Intelligence, Statistics, general