Skip to main content

Abstract

An index of robustness of the preference between two alternatives is proposed. Given a finite number of alternatives, n conflicting criteria and weights wi ≥ 0, i=1, …n representing the preferences of the decision maker, a robustness index r(x,y) ε [-1,1] is defined. This index can be seen as a measure of the “robustness” of the preference order of two alternatives x and y with respect to the chosen weights Wi, i=1,. …n. If r(x,y) is closed to zero, only minor changes of the weights will change the preference order of the alternatives x and y, whereas e.g. a value of r(x,y) close to 1 implies a “strong” preference of x over y. It is shown that the index can also be defined for general additive preference models. A proof that the proposed index, for the additive case, is moderated stochastic transitive is given.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bana e Costa, C. and J-C. Vansnick (1995). “A theoretical framework for measuring attractiveness by a categorical based evaluation technique (MACBETH),” in Advances in Multicriteria Analysis, Pardalos, P. M., Siskos, Y. and Zopounidis (eds.), 93–100, Kluwer Academic Publishers, Dordrech, Netherland.

    Chapter  Google Scholar 

  • Bana e Costa, C. and Vincke, Ph. (1995). “Measuring credibility of compensatory preference statements when trade-offs are interval determined,” Theory and Decision, 39, 127–155.

    Article  Google Scholar 

  • Fishburn, P. C. (1967). “Methods of estimating additive utilities,” Management Science, 13, 435–453.

    Article  Google Scholar 

  • Fishburn, P. C. (1982). “Nontransitive measurable utility,” Journal of Mathematical Psychology, 26, 31–67.

    Article  Google Scholar 

  • Fishburn, P. C. (1986). “Ordered preference differences without ordered preferences,” Synthese, 67, 361–368.

    Article  Google Scholar 

  • French, S. (1988). Decision Theory: An Introduction to the Mathematics of Rationality. Halsted Press, Wiley, New York.

    Google Scholar 

  • Guillén, S. (1993). “índices de preferencia asociados a modelos aditivos multicriterio,” Instituto de Ingeniería, No. 556, Universidad Nacional Autónoma de México, México.

    Google Scholar 

  • Jacquet-Lasgrèze, E. (1982). “Binary preference indices: a new look on multicriteria aggregation procedures,” European Journal of Operational Research, 10, 26–32.

    Article  Google Scholar 

  • Keeney, R. L. and Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-Offs. John Wiley & Sons, New York.

    Google Scholar 

  • Roy, B., Mousseau V. (1995). “Theoretical framework for analyzing the notion of relative importance of criteria. Journal of Multicriteria,” Decision Analysis, 5, 145–159.

    Google Scholar 

  • Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill.

    Google Scholar 

  • Schoemaker, P. and Carter, W. (1982). “An experimental comparison of different approaches to determining weights in additive utility model,” Management Science, 28, 182–196.

    Article  Google Scholar 

  • Suppes, P., Krantz, D.; Luce, R. and Tversky, A. (1989). Foundations of Measurement, Vol. 2, Academic Press Inc., New York.

    Google Scholar 

  • Trejos, M. (1991), “Método de relaciones binarias de sobreclasificación que usa una familia de funciones de utilidad,” Doctoral Thesis, Facultad de Ingeniería de 1a Universidad Nacional Autónoma de México, México

    Google Scholar 

  • Tversky, A. (1969), “Intransitivity of preferences,” Psychological Review 76, 31–48.

    Article  Google Scholar 

  • Vincke, Ph. (1992), Multicriteria Decision Aid, Chichester: Wiley, New York.

    Google Scholar 

  • Vansnick, J-C. (1984). “Strength of preference, theoretical and practical aspects,” Operational Research, Brans, J. P. (Ed. Elsevier Science Publishers B.V. (North-Holland), 449–462.

    Google Scholar 

  • Von Neumann, J. and Morgenstern, O. (1967). Theory of Games and Economic Behavior, Princeton University Press, 3nd edition, Princeton.

    Google Scholar 

  • Von Winterfeldt, D., and Edwards, W. (1986), Decision and Behavioral Research, Cambridge University Press, Cambridge.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Guillén, S.T., Trejos, M.S., Canales, R. (2000). A Robustness Index of Binary Preferences. In: Haimes, Y.Y., Steuer, R.E. (eds) Research and Practice in Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 487. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57311-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-57311-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67266-1

  • Online ISBN: 978-3-642-57311-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics