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Measurement Uncertainty

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Handbook of Metrology and Applications

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Abstract

This introduction to measurement uncertainty is designed for metrology experts working in calibration laboratories and metrology institutions, as well as students in science and engineering programs at the university level. The topic is covered with a focus on creating models of the physical measuring process. Since the release of the Guide to the Expression of Uncertainty in Measurement, there has been an increase in the use of models for uncertainty analysis. However, there is no direction on how to do so. That issue is addressed in this booklet. The mathematics and statistics employed here are elementary and are normally studied in high school. Modeling, on the other hand, is a method of describing an abstraction of a measuring process using mathematical language. Some readers may be unfamiliar with this. This publication was made possible by the contributions of many people.

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References

  • Chen SJ, Hwang CL (1992) Fuzzy multiple attribute decision making: methods and applications. Springer-Verlag, New York

    Book  MATH  Google Scholar 

  • Chow YS, Teicher H (1997) Probabil, 3rd edn. Springer-Verlag, New York

    Google Scholar 

  • Chung KL (2001) A course in probability theory, 3rd edn. Academic Press, San Diego

    Google Scholar 

  • Dubois P (1993) Fuzzy sets and probability: misunderstanding, bridges and gaps, Proceedings of second IEEE international conference on fuzzy systems, San Francisco, pp 1059–1068

    Google Scholar 

  • Durrett R (1996) Probability: theory and examples, 2nd edn. Duxbury, Belmont

    MATH  Google Scholar 

  • Ferrero A, Salicone S (2003) An innovative approach to the determination of uncertainty in measurement based on fuzzy variables. IEEE Trans Instrument Measurement 52(4):1174–1181

    Article  ADS  Google Scholar 

  • Ferrero A, Salicone S (2004) The random-fuzzy variables: a new approach for the expression of uncertainty in measurement. IEEE Trans Instrument Measurement:1370–1377

    Google Scholar 

  • Ferrero A, Salicone S (2005a) The use of random-fuzzy variables for the implementation of decision rules in the presence of measurement uncertainty. IEEE Trans Instrument Measurement:1482–1488

    Google Scholar 

  • Ferrero A, Salicone S (2005b) The theory of evidence for the expression of uncertainty in measurement—La th´eorie de l’´evidence pour l’expression de l’incertitude dans les mesures. Proc Int Metrol Congr, Lyon, France 20–23

    Google Scholar 

  • Ferrero A, Gamba R, Salicone S (2004) A method based on random-fuzzy variables for on-line estimation of the measurement uncertainty of DSP based instruments, IEEE Trans Instrument Measurement, pp 1362–1369

    Google Scholar 

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Authors and Affiliations

  1. Jubail Industrial College, Jubail, Saudi Arabia

    C. V. Rao

Authors
  1. C. V. Rao
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Correspondence to C. V. Rao .

Editor information

Editors and Affiliations

  1. Bhabha Atomic Research Centre, Mumbai, Maharashtra, India

    Dinesh K. Aswal

  2. Physico-Mechanical Metrology, CSIR - National Physical Laboratory, New Delhi, Delhi, India

    Sanjay Yadav

  3. National Metrology Institute of Japan, National Institute of Advanced Industria, Ibaraki, Japan

    Toshiyuki Takatsuji

  4. National Institute of Standards and Tech, GAITHERSBURG, MD, USA

    Prem Rachakonda

  5. Mechanical Engineering Department, National Institute of Technology, Delhi, India

    Harish Kumar

Section Editor information

  1. CSIR-National Physical Laboratory, New Delhi, India

    Naveen Garg PhD

  2. Department of Mechanical Engineering, University of South Africa (Unisa), Pretoria, South Africa

    Vishal Ramnath PhD

  3. HFPL, Bangalore, India

    B. K. Das PhD

  4. Pressure, Vacuum and Ultrasonic Metrology, Division of Physico-Mechanical Metrology, CSIR-National Physical Laboratory, New Delhi, India

    Sanjay Yadav

  5. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

    Sanjay Yadav

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Rao, C.V. (2022). Measurement Uncertainty. In: Aswal, D.K., Yadav, S., Takatsuji, T., Rachakonda, P., Kumar, H. (eds) Handbook of Metrology and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-19-1550-5_127-1

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  • DOI: https://doi.org/10.1007/978-981-19-1550-5_127-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1550-5

  • Online ISBN: 978-981-19-1550-5

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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