A DSS for Resolving Evaluation of Criteria by Interactive Flexible Elicitation Procedure

  • Adiel Teixeira de Almeida
  • Ana Paula Cabral Seixas CostaEmail author
  • Jonatas Araujo de Almeida
  • Adiel Teixeira de Almeida-Filho
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 184)


This paper describes the implementation of a Decision Support System (DSS) with a flexible elicitation procedure to support a decision maker (DM) to establish weights for a multi criteria choice decision problem, based on the concept of a flexible procedure. The DSS not only presents an elicitation interface to establish weights, but computes the performance of alternatives in an additive model, thus enabling the DM to reduce the set of non-dominated alternatives since partial information about preferences is given. When the flexible elicitation procedure implemented in this DSS is performed less information is required from the DM, which implies that less cognitive effort is required. The DSS contributes by providing a user friendly interface which enables the elicitation protocol to be performed using graphics and by computing alternatives performance quickly so that the elicitation process can be finished quickly with the minimum number of questions needed to solve the choice problem. The flexible elicitation procedure proposed is illustrated with a numerical application.


Decision support system Flexible elicitation Eliciting weights Additive model 



This work has been partially supported by CDSID and CNPq (the Brazilian Bureau for Funding Research). We would also like to thank anonymous reviewers for their comments and contributions.


  1. 1.
    Fernandez, E., Navarro, J., Duarte, A.: Multicriteria sorting using a valued preference closeness relation. Eur. J. Oper. Res. 185, 673–686 (2008)CrossRefzbMATHGoogle Scholar
  2. 2.
    Riabacke, M., Danielson, M., Ekenberg, L.: State-of-the-art prescriptive criteria weight elicitation. Adv. Decis. Sci. 2012, 1–24 (2012)CrossRefGoogle Scholar
  3. 3.
    Nelyubin, A.P., Podinovski, V.V.: Bilinear optimization in the analysis of multicriteria problems using criteria importance theory under inexact information about preferences. Comput. Math. Math. Phys. 51, 751–761 (2011)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Keeney, R.L., Raiffa, H.: Decision Making with Multiple Objectives, Preferences, and Value Tradeoffs. Wiley, New York (1976)Google Scholar
  5. 5.
    Puerto, J., M´armol, A.M., Monroy, L., Fernandez, F.R.: Decision criteria with partial information. Int. Trans. Oper. Res. 7, 51–65 (2000)CrossRefGoogle Scholar
  6. 6.
    Salo, A.A., Hamalainen, R.P.: Preference ratios in multiattribute evaluation (PRIME)-elicitation and decision procedures under incomplete information. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 31, 533–545 (2001)CrossRefGoogle Scholar
  7. 7.
    Mustajoki, J., Raimo, P.H., Salo, A.: Decision support by interval SMART/ SWING—incorporating imprecision in the SMART and SWING methods. Decis. Sci. 36, 317–339 (2005)CrossRefGoogle Scholar
  8. 8.
    Barron, F.H.: Selecting a best multiattribute alternative with partial information about attribute weights. Acta Psychol. 80, 91–103 (1992)CrossRefGoogle Scholar
  9. 9.
    Edwards, W., Barron, F.H.: SMARTS and SMARTER: improved simple methods for multiattribute utility measurement. Organ. Behav. Hum. Decis. Process. 60, 306–325 (1994)CrossRefGoogle Scholar
  10. 10.
    Barron, F.H., Barrett, B.E.: Decision quality using ranked attribute weights. Manag. Sci. 42, 1515–1523 (1996)CrossRefzbMATHGoogle Scholar
  11. 11.
    Barron, F.H., Barrett, B.E.: The efficacy of SMARTER – simple multi-attribute rating technique extended to ranking. Acta Psychol. 93, 23–36 (1996)CrossRefGoogle Scholar
  12. 12.
    Almeida, A. T.: A method for resolving the criteria influence by flexible elicitation. Working paper, CDSID (2012)Google Scholar
  13. 13.
    Fishburn, P.C.: Methods of estimating additive utilities. Manag. Sci. 13, 435–453 (1967)CrossRefGoogle Scholar
  14. 14.
    Keeney, R.L.: Utility functions for multi-attributed consequences. Manag. Sci. 18, 276–287 (1972)CrossRefzbMATHMathSciNetGoogle Scholar
  15. 15.
    Keeney, R.L.: Value-Focused Thinking: a Path to Creative Decision Making. Harvard University Press, Cambridge (1992)Google Scholar
  16. 16.
    McGeachie, M., Doyle, J.: The local geometry of multiattribute trade-off preferences. Artif. Intell. 175, 1122–1152 (2011)CrossRefzbMATHMathSciNetGoogle Scholar
  17. 17.
    Lacity, M.C., Khan, S.A., Willcocks, L.P.: A review of the IT outsourcing literature: insights for practice. J. Strateg. Inf. Syst. 18, 130–146 (2009)CrossRefGoogle Scholar
  18. 18.
    Lu, H., Yu, H., Lu, S.S.K.: The effects of cognitive style and model type on DSS acceptance: an empirical study. Eur. J. Oper. Res. 16, 649–663 (2001)CrossRefGoogle Scholar
  19. 19.
    Chen, J.Q., Lee, S.M.: An exploratory cognitive DSS for strategic decision making. Decis. Support Syst. 36, 147–160 (2003)CrossRefGoogle Scholar
  20. 20.
    Alodhaibi, K., Brodsky, A., Mihaila, G. A.: COD: iterative utility elicitation for diversified composite. In: Proceedings of the 43rd Hawaii International Conference on System Sciences (2010)Google Scholar
  21. 21.
    Chajewska, U., Getoor, L., Norman, J., Shahar, Y.: Utility elicitation as a classification problem. In: Proceeding UAI’98 Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 79–88 (1988)Google Scholar
  22. 22.
    Abdellaoui, M.: Parameter-free elicitation of utility and probability weighting functions. Manag. Sci. 46, 1497–1512 (2000)CrossRefzbMATHGoogle Scholar
  23. 23.
    Chen, L. Pu, P.: Survey of preference elicitation methods. In: EPFL Technical report IC/2004/67Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Adiel Teixeira de Almeida
    • 1
  • Ana Paula Cabral Seixas Costa
    • 1
    Email author
  • Jonatas Araujo de Almeida
    • 1
  • Adiel Teixeira de Almeida-Filho
    • 1
  1. 1.Universidade Federal de PernambucoRecifeBrazil

Personalised recommendations