Skip to main content

From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields

  • Conference paper
  • 993 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6068))

Abstract

For a numerical physical quantity v, because of the measurement imprecision, the measurement result \(\widetilde v\) is, in general, different from the actual value v of this quantity. Depending on what we know about the measurement uncertainty \(\Delta v\stackrel{\rm def}{=}\widetilde v-v\), we can use different techniques for dealing with this imprecision: probabilistic, interval, etc.

When we measure the values v(x) of physical fields at different locations x (and/or different moments of time), then, in addition to the same measurement uncertainty, we also encounter another type of localization uncertainty: that the measured value may come not only from the desired location x, but also from the nearby locations.

In this paper, we discuss how to handle this additional uncertainty.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderson, E.J., Nash, P.: Linear Programming in Infinite-Dimensional Spaces. Wiley, New York (1987)

    MATH  Google Scholar 

  2. Anguelov, R., Markov, S., Sendov, B.: The set of Hausdorff continuous functions – the largest linear space of interval functions. Reliable Computing 12, 337–363 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  3. Averill, M.G.: A Lithospheric Investigation of the Southern Rio Grande Rift, PhD Dissertation, University of Texas at El Paso, Department of Geological Sciences (2007)

    Google Scholar 

  4. Jaulin, L., et al.: Applied Interval Analysis. Springer, London (2001)

    MATH  Google Scholar 

  5. Kuznetsov, V.: Interval Statistical Methods. Radio i Svyaz Publ., Moscow (1991) (in Russian)

    Google Scholar 

  6. Perfilieva, I.: Fuzzy transforms: theory and applications. Fuzzy Sets and Systems 157, 993–1023 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  7. Perfilieva, I., Novák, V., Dvorák, A.: Fuzzy transform in the analysis of data. International Journal of Approximate Reasoning 48(1), 36–46 (2008)

    Article  MATH  Google Scholar 

  8. Pinheiro da Silva, P., et al.: Propagation and Provenance of Probabilistic and Interval Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion. In: Muhanna, R.L., Mullen, R.L. (eds.) Proceedings of the International Workshop on Reliable Engineering Computing REC 2008, Savannah, Georgia, February 20-22, pp. 199–234 (2008)

    Google Scholar 

  9. Walley, P.: Statistical Reasoning with Imprecise Probabilities. Wiley, Chichester (1991)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kreinovich, V., Perfilieva, I. (2010). From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14403-5_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14402-8

  • Online ISBN: 978-3-642-14403-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics