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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Measuring Uncertainty Within the Theory of Evidence

Measuring Uncertainty Within the Theory of Evidence

Salicone, Simona
Prioli, Marco

Hardcover

Series: Springer Measurement Science and Technology

General MathematicsProbability & Statistics

ISBN10: 3319741373
ISBN13: 9783319741376
Publisher: Springer Nature
Published: May 7 2018
Pages: 330
Weight: 1.46
Height: 0.81 Width: 6.14 Depth: 9.21
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.

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