Chapter: Introduction: Probability and Belief Functions

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Home > Measuring Uncertainty within the Theory of Evidence > Introduction: Probability and Belief Functions

Measuring Uncertainty within the Theory of Evidence |

Simona Salicone; Marco Prioli

Springer International Publishing

Measuring Uncertainty within the Theory of Evidence

Introduction: Probability and Belief Functions

Chapter Info

Authors

Simona Salicone; Marco Prioli

ARI Id

1665115715174_4895928

Access

Not Available Free

Pages

87-92

DOI

10.1007/978-3-319-74139-0_5

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-74139-0_5

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xv
Introduction	Simona Salicone; Marco Prioli	1-6
Front Matter		7-7
Measurements	Simona Salicone; Marco Prioli	9-15
Mathematical Methods to Handle Measurement Uncertainty	Simona Salicone; Marco Prioli	17-36
A First, Preliminary Example	Simona Salicone; Marco Prioli	37-84
Front Matter		85-85
Introduction: Probability and Belief Functions	Simona Salicone; Marco Prioli	87-92
Basic Definitions of the Theory of Evidence	Simona Salicone; Marco Prioli	93-105
Particular Cases of the Theory of Evidence	Simona Salicone; Marco Prioli	107-128
Operators Between Possibility Distributions	Simona Salicone; Marco Prioli	129-152
The Joint Possibility Distributions	Simona Salicone; Marco Prioli	153-160
The Combination of the Possibility Distributions	Simona Salicone; Marco Prioli	161-162
The Comparison of the Possibility Distributions	Simona Salicone; Marco Prioli	163-165
The Probability-Possibility Transformations	Simona Salicone; Marco Prioli	167-182
Front Matter		183-183
A Short Review of the Fuzzy Set Theory	Simona Salicone; Marco Prioli	185-193
The Relationship Between the Fuzzy Set Theory and the Theory of Evidence	Simona Salicone; Marco Prioli	195-203
Front Matter		205-205
Introduction: Toward an Alternative Representation of the Measurement Results	Simona Salicone; Marco Prioli	207-208
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