Skip to main content

Eliciting Information Concerning the Relative Importance of Criteria

  • Chapter
Advances in Multicriteria Analysis

Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 5))

Abstract

The notion of Relative Importance of Criteria (RIC) is central in the domain of Multiple Criteria Decision Aid (MCDA). It aims at differentiating the role of each criterion in the construction of comprehensive preferences, thus allowing to discriminate among pareto-optimal alternatives. In most aggregation procedures, this notion takes the form of importance parameters.

The acquisition of information concerning the RIC may be supported by Elicitation Techniques for Importance Parameters (ETIP). The design of such techniques should account for both the meaning that each aggregation confers on its parameters and the decision makers’ (DMs) understanding of the notion of RIC. More precisely, ETIPs should be able to provide a good fit between the way the analyst uses the DM’s assertions in the model and the information that he/she expresses through his/her statements.

In this paper, we present an ETIP adapted to the ELECTRE methods that proceeds by means of pairwise comparisons of fictitious alternatives. Implemented in a software program called DIVAPIME, this ETIP supports the elicitation of variation intervals for the ELECTRE methods’ preferential parameters.

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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. (1993) “Les problématiques dans le cadre de l’activité d’aide à la décision”, Document n°80, LAMSADE, Université Paris-Dauphine.

    Google Scholar 

  • Beattie J. & Baron J. (1991) “Investigating the effect of stimulus range on attribute weight”,Journal of Experimental Psychology: Human Perception and Performance, 17(2), 571–585.

    Google Scholar 

  • Brans J.P., Mareschal B. & Vincke Ph. (1984) “PROMÉTHÉE: A new family of outranking methods in multicriteria analysis” in J.P. Brans (ed.), Operational Research ‘84, Elsevier Science Publishers B.V. ( North-Holland ), 408–421.

    Google Scholar 

  • Fishhoff B., Slovic P. & Lichtenstein S. (1989): “Knowing what you want: Measuring labile values” in Bell-Raiffa-Tversky (eds.), Decision Making: Descriptive, Normative and Prescriptive Interactions, Cambridge University Press, 398–421.

    Google Scholar 

  • Keeney R.L. & Raiffa H. (1976), (2“`’ ed. 1993) ”Decision with multiple objectives: preferences and value tradeoffs“,John Wiley & Sons.

    Google Scholar 

  • Levine P. & Pomerol J.Ch.(1989) “Systèmes interactifs d’aide à la décision et systèmes experts”,Hermès.

    Google Scholar 

  • Mousseau V. (1992) “Analyse et classification de la littérature traitant de l’importance relative des critères en aide multicritère à la décision”,RAIRO/Operations Research, 26 (4), 367–389.

    Google Scholar 

  • Mousseau V. (1993) “Problèmes liés à l’évaluation de l’importance relative des critères en aide multicritère à la décision: réflexions théoriques, expérimentations et implémentations informatiques”, Thèse de doctorat, Université Paris-Dauphine.

    Google Scholar 

  • Paynes J.W., Bettman J.R. & Johnson J.E.(1993) “The adaptative decision making”,Cambridge University Press.

    Google Scholar 

  • Paynes J.W., Bettman J.R. & Johnson J.E. (1992) “Behavioral decision research: a constructive processing perspective”, Annual Review of Psychlogy, 43, 87–131.

    Google Scholar 

  • Podinovskii V.V. (1988) “Criteria importance theory” in Lewandowski, Volkovich (Eds.) “Multiobjective problems of mathematical programming”, Proceedings, Yalta, USSR, Springer-Verlag.

    Google Scholar 

  • Roubens M. (1982) “Preference relations on actions and criteria in multicriteria decision making”, EJOR, 10, 51–55.

    Article  Google Scholar 

  • Roy B. (1970) “Algèbre moderne et théorie des graphes orientées vers les sciences économiques et sociales”, Tome 2, Dunod.

    Google Scholar 

  • Roy B. (1985) “Méthodologie multicritère d’aide à la décision”,Economica.

    Google Scholar 

  • Roy B. (1991) “The outranking approach and the foundations of ELECTRE methods”,Theory and Decision, 31 (1), 49–73.

    Google Scholar 

  • Roy B. (1993) “Decision science or decision-aid science”,EJOR, 66 (2), 184–203.

    Google Scholar 

  • Roy B. & Bouyssou D. (1993) “Aide multicritère à la décision: Méthodes et cas”, Economica.

    Google Scholar 

  • Roy B. & Mousseau V. (1995) “A theoretical framework for analysing the notion of relative importance of criteria”, Research Paper, LAMSADE, Université Paris-Dauphine.

    Google Scholar 

  • Roy B., Présent M. & Silhol D. (1986) “A programming method for determining which Paris metro stations should be renovated”, EJOR, vol. 24, pp. 318–334.

    Google Scholar 

  • Saaty T.L. (1980) “The Analytic Hierarchy Process”, Mc Graw Hill, New York.

    Google Scholar 

  • Sprague R.H. & Carlson E.D. (1982) “Building effective decision support systems”, Prentice Hall.

    Google Scholar 

  • Vallée D. & Zielniewicz P. (1994) “Electre 11UIV version 3.x: Aspects méthodologiques”,Document du Lamsade n°85, Université Paris-Dauphine.

    Google Scholar 

  • Vansnick J-CI. (1986) “On the problem of weight in multiple criteria decision making (the non compensatory approach)”, EJOR, 24, 288–294.

    Article  Google Scholar 

  • Vincke Ph. (1990) “Basic concepts of preference modelling”,in Bana e Costa (ed.) “Readings in multiple criteria decision aid”, Springer Verlag, 101–118.

    Google Scholar 

  • Weber M. & Borcherding K. (1993) “Behavioral influences on weight judgments in multiattribute decision making”, EJOR, 67 (1), 1–12.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Mousseau, V. (1995). Eliciting Information Concerning the Relative Importance of Criteria. In: Pardalos, P.M., Siskos, Y., Zopounidis, C. (eds) Advances in Multicriteria Analysis. Nonconvex Optimization and Its Applications, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2383-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2383-0_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4748-2

  • Online ISBN: 978-1-4757-2383-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics