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Random Sets

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Cover of 'Random Sets'

Table of Contents

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    Book Overview
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    Chapter 1 Morphological Analysis of Random Sets an Introduction
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    Chapter 2 Statistical Problems for Random Sets
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    Chapter 3 On Estimating Granulometric Discrete Size Distributions of Random Sets
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    Chapter 4 Logical Granulometric Filtering in the Signal—Union—Clutter Model
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    Chapter 5 On Optimal Filtering of Morphologically Smooth Discrete Random Sets and Related Open Problems
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    Chapter 6 On the Maximum of Conditional Entropy for Upper/Lower Probabilities Generated by Random Sets
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    Chapter 7 Random Sets in Information Fusion an Overview
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    Chapter 8 Cramér—Rao Type Bounds for Random Set Problems
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    Chapter 9 Random Sets in Data Fusion Multi-Object State-Estimation as a Foundation of Data Fusion Theory
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    Chapter 10 Extension of Relational and Conditional Event Algebra to Random Sets with Applications to Data Fusion
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    Chapter 11 Belief Functions and Random Sets
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    Chapter 12 Uncertainty Measures, Realizations and Entropies *
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    Chapter 13 Random Sets in Decision—Making
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    Chapter 14 Random Sets Unify, Explain, and Aid Known Uncertainty Methods in Expert Systems
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    Chapter 15 Laws of Large Numbers for Random Sets
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    Chapter 16 Geometric Structure of Lower Probabilities
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    Chapter 17 Some Static and Dynamic Aspects of Robust Bayesian Theory
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Title
Random Sets
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4612-1942-2
ISBNs
978-1-4612-7350-9, 978-1-4612-1942-2
Editors

Goutsias, John, Mahler, Ronald P. S., Nguyen, Hung T.

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