Measuring Uncertainty within the Theory of Evidence

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Measuring Uncertainty within the Theory of Evidence by Simona Salicone, Marco Prioli, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Simona Salicone, Marco Prioli ISBN: 9783319741390
Publisher: Springer International Publishing Publication: April 23, 2018
Imprint: Springer Language: English
Author: Simona Salicone, Marco Prioli
ISBN: 9783319741390
Publisher: Springer International Publishing
Publication: April 23, 2018
Imprint: Springer
Language: English

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 to interact 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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 to interact 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. 

More books from Springer International Publishing

Cover of the book Qualitative Methodologies in Organization Studies by Simona Salicone, Marco Prioli
Cover of the book Stem Cells and Cardiac Regeneration by Simona Salicone, Marco Prioli
Cover of the book Headache in Children and Adolescents by Simona Salicone, Marco Prioli
Cover of the book A Survey on Coordinated Power Management in Multi-Tenant Data Centers by Simona Salicone, Marco Prioli
Cover of the book Stability Theory for Dynamic Equations on Time Scales by Simona Salicone, Marco Prioli
Cover of the book Chest Sonography by Simona Salicone, Marco Prioli
Cover of the book Thyroid Disorders by Simona Salicone, Marco Prioli
Cover of the book Richard Ned Lebow: Major Texts on Methods and Philosophy of Science by Simona Salicone, Marco Prioli
Cover of the book Embodied Carbon in Buildings by Simona Salicone, Marco Prioli
Cover of the book Quantum Computing:An Environment for Intelligent Large Scale Real Application by Simona Salicone, Marco Prioli
Cover of the book Australian Foreign Policy in Asia by Simona Salicone, Marco Prioli
Cover of the book Pediatric Radiation Oncology by Simona Salicone, Marco Prioli
Cover of the book Service-Oriented Computing – ICSOC 2017 Workshops by Simona Salicone, Marco Prioli
Cover of the book Computer Vision – ECCV 2018 by Simona Salicone, Marco Prioli
Cover of the book Electroceuticals by Simona Salicone, Marco Prioli
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy