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Measuring Uncertainty within the Theory of Evidence

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Cover of 'Measuring Uncertainty within the Theory of Evidence'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Measurements
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    Chapter 3 Mathematical Methods to Handle Measurement Uncertainty
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    Chapter 4 A First, Preliminary Example
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    Chapter 5 Introduction: Probability and Belief Functions
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    Chapter 6 Basic Definitions of the Theory of Evidence
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    Chapter 7 Particular Cases of the Theory of Evidence
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    Chapter 8 Operators Between Possibility Distributions
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    Chapter 9 The Joint Possibility Distributions
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    Chapter 10 The Combination of the Possibility Distributions
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    Chapter 11 The Comparison of the Possibility Distributions
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    Chapter 12 The Probability-Possibility Transformations
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    Chapter 13 A Short Review of the Fuzzy Set Theory
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    Chapter 14 The Relationship Between the Fuzzy Set Theory and the Theory of Evidence
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    Chapter 15 Introduction: Toward an Alternative Representation of the Measurement Results
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    Chapter 16 Random-Fuzzy Variables and Measurement Results
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    Chapter 17 The Joint Random-Fuzzy Variables
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    Chapter 18 The Combination of the Random-Fuzzy Variables
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    Chapter 19 The Comparison of the Random-Fuzzy Variables
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    Chapter 20 Measurement Uncertainty Within Fuzzy Inference Systems
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    Chapter 21 Phantom Power Measurement
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    Chapter 22 Characterization of a Resistive Voltage Divider
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    Chapter 23 Temperature Measurement Update
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    Chapter 24 The Inverted Pendulum
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    Chapter 25 Conclusion
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Title
Measuring Uncertainty within the Theory of Evidence
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-74139-0
ISBNs
978-3-31-974137-6, 978-3-31-974139-0
Authors

Salicone, Simona, Prioli, Marco

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Student > Master 2 25%
Student > Doctoral Student 1 13%
Unknown 1 13%
Readers by discipline Count As %
Engineering 2 25%
Nursing and Health Professions 1 13%
Mathematics 1 13%
Materials Science 1 13%
Physics and Astronomy 1 13%
Other 0 0%
Unknown 2 25%