Measuring Uncertainty within the Theory of Evidence - Couverture souple

Livre 9 sur 20: Springer Series in Measurement Science and Technology

Salicone, Simona; Prioli, Marco

 
9783030089245: Measuring Uncertainty within the Theory of Evidence
Couverture souple
ISBN 10 : 303008924X ISBN 13 : 9783030089245
Editeur : Springer, 2019

Synopsis

This monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence. With a new perspective on the metrology science, the text paves the way for innovative applications in a wide range of areas. Building on Simona Salicone's Measurement Uncertainty: An Approach via the Mathematical Theory of Evidence, the material covers further developments of the Random Fuzzy Variable (RFV) approach to uncertainty and provides a more robust mathematical and metrological background to the combination of measurement results that leads to a more effective RFV combination method.
While the first part of the book introduces measurement uncertainty, the Theory of Evidence, and fuzzy sets, the following parts bring together these concepts and derive an effective methodology for the evaluation and expression of measurement uncertainty. A supplementary downloadable program allows the readers tointeract with the proposed approach by generating and combining RFVs through custom measurement functions. With numerous examples of applications, this book provides a comprehensive treatment of the RFV approach to uncertainty that is suitable for any graduate student or researcher with interests in the measurement field.

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À propos de l?auteur

Simona Salicone is Associate Professor of electrical and electronic measurements in the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano. Her principal research interests are the analysis of advanced mathematical methods for uncertainty representation and estimation, and she has contributed to the development and application of the mathematical Theory of Evidence to the expression and evaluation of uncertainty in measurement.
Marco Prioli is an IEEE Instrumentation and Measurement Society member. He is also a memeber of the Italian Association for Electrical and Electronic Measurements (GMEE).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2019
Langue
anglais
ISBN 10 
303008924X
ISBN 13 
9783030089245
Reliure
Broché
Nombre de pages
348
Coordonnées du fabricant
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Poststr. 9
Darmstadt
64293
Allemagne

Autres éditions populaires du même titre

9783319741376: Measuring Uncertainty Within the Theory of Evidence

Edition présentée

ISBN 10 :  3319741373 ISBN 13 :  9783319741376
Editeur : Springer International Publishin..., 2018
Couverture rigide