Measurement Uncertainty

An Approach via the Mathematical Theory of Evidence

Simona Salicone - Collection Springer Series in Reliability Engineering

228 pages, parution le 01/02/2007

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Résumé

The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. Numerous examples throughout help explain the book's unique approach.

Sommaire

Uncertainty in Measurement.
Fuzzy Variables and Measurement Uncertainty.
The Theory of Evidence.
Random-Fuzzy Variables.
Construction of Random-Fuzzy Variables.
Fuzzy Operators.
The Mathematics of Random-Fuzzy Variables.
Representation of Random-Fuzzy Variables.
Decision-Making Rules with Random-Fuzzy Variables.
List of Symbols

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Simona Salicone
Collection	Springer Series in Reliability Engineering
Parution	01/02/2007
Nb. de pages	228
Format	16 x 24
Couverture	Relié
Poids	460g
Intérieur	Noir et Blanc
EAN13	9780387306551
ISBN13	978-0-387-30655-1