Skip to main content

Statistical Tests for Verification of Estimate of the Preference Relation Resulting from Pairwise Comparisons

  • Conference paper
  • First Online:
Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (IWIFSGN 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

Abstract

The paper presents tests for verification of estimates of the preference relation, obtained of the basis of multiple independent pairwise comparisons with random errors. The comparisons are assumed in binary form, while the estimate is obtained with the use of the idea of nearest adjoining order (NAO). Some of these tests are non-parametric, i.e. they do not require any parameters of distribution of comparison errors; remaining tests are based on exact or limiting distributions. Estimates verified by the tests are highly reliable and does not require high computational cost.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

References

  1. Bradley, R.A.: Science, statistics and paired comparisons. Biometrics 32, 213–232 (1976)

    Article  MathSciNet  Google Scholar 

  2. David, H.A.: The Method of Paired Comparisons, 2nd edn. Ch. Griffin, London (1988)

    MATH  Google Scholar 

  3. Domański, C.: Statistical Tests. PWE, Warsaw (1990). (in Polish)

    Google Scholar 

  4. Hansen, P., Jaumard, B.: Cluster analysis and mathematical programming. Math. Program. 79, 191–215 (1997)

    MathSciNet  MATH  Google Scholar 

  5. Hoeffding, W.: Probability inequalities for sums of bounded random variables. JASA 58, 13–30 (1963)

    Article  MathSciNet  Google Scholar 

  6. Klukowski, L.: Some probabilistic properties of the nearest adjoining order method and its extensions. Ann. Oper. Res. 51, 241–261 (1994)

    Article  MathSciNet  Google Scholar 

  7. Klukowski, L.: Methods of estimation of relations of: equivalence, tolerance, and preference in a finite set. IBS PAN, Series: Systems Research, vol. 69, Warsaw (2011)

    Google Scholar 

  8. Klukowski, L.: Estimation of the relations of equivalence, tolerance and preference on the basis of pairwise comparisons. In: Burduk. R., et al (eds.) Proceedings of the 8th International Conference on Computer Recognition Systems CORES. Springer, Heidelberg (2013)

    Google Scholar 

  9. Klukowski, L.: Determining an estimate of an equivalence relation for moderate and large sized sets. Oper. Res. Decisions Q. 27(2), 45–58 (2017)

    MathSciNet  Google Scholar 

  10. Serfling, R.J.: Approximation Theorems of Mathematical Statistics. Wiley (1980)

    Google Scholar 

  11. Singh, J., Thompson Jr., W.A.: A treatment of ties in paired comparisons. Ann. Math. Statist. 39, 2002–2015 (1968)

    Article  MathSciNet  Google Scholar 

  12. Singh, J.: A note on paired comparisons. Ann. Statist. 4, 651–654 (1976)

    Article  MathSciNet  Google Scholar 

  13. Slater, P.: Inconsistencies in a schedule of paired comparisons. Biometrika 48, 303–312 (1961)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Leszek Klukowski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Klukowski, L. (2021). Statistical Tests for Verification of Estimate of the Preference Relation Resulting from Pairwise Comparisons. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_24

Download citation

Publish with us

Policies and ethics