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A flexible elicitation procedure for additive model scale constants

Author

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  • Adiel T. Almeida-Filho

    (CDSID - Center for Decision Systems and Information Development, Av. Acadêmico Hélio Ramos, s/n – Cidade Universitária)

  • Adiel T. Almeida

    (CDSID - Center for Decision Systems and Information Development, Av. Acadêmico Hélio Ramos, s/n – Cidade Universitária)

  • Ana Paula C. S. Costa

    (CDSID - Center for Decision Systems and Information Development, Av. Acadêmico Hélio Ramos, s/n – Cidade Universitária)

Abstract

This paper contributes to the process of eliciting additive model scale constants in order to support choice problems, thereby reducing the effort a decision maker (DM) needs to make since partial information with regard to DM preferences can be used. Procedures related to eliciting weights without a tradeoff interpretation of weights are justified based on assumptions that DM is not able to specify fixed weight values or if DM is able to do so, this would not be reliable information. As long as partial information is provided, the flexible elicitation procedure performs dominance tests based on a linear programming problem to explore the DM’s preferences as a vector space which is built using the DM’s partial information. To provide evidence of the satisfactory performance of the flexible elicitation procedure, an empirical test is presented with results that indicate that this procedure requires less effort from DMs.

Suggested Citation

  • Adiel T. Almeida-Filho & Adiel T. Almeida & Ana Paula C. S. Costa, 2017. "A flexible elicitation procedure for additive model scale constants," Annals of Operations Research, Springer, vol. 259(1), pages 65-83, December.
  • Handle: RePEc:spr:annopr:v:259:y:2017:i:1:d:10.1007_s10479-017-2519-y
    DOI: 10.1007/s10479-017-2519-y
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    Cited by:

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    2. Abreu Kang, Takanni Hannaka & da Costa Soares Júnior, Antônio Marques & de Almeida, Adiel Teixeira, 2018. "Evaluating electric power generation technologies: A multicriteria analysis based on the FITradeoff method," Energy, Elsevier, vol. 165(PB), pages 10-20.
    3. Madson Bruno da Silva Monte & Danielle Costa Morais, 2019. "A Decision Model for Identifying and Solving Problems in an Urban Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4835-4848, November.
    4. de Almeida Filho, Adiel T. & Clemente, Thárcylla R.N. & Morais, Danielle Costa & de Almeida, Adiel Teixeira, 2018. "Preference modeling experiments with surrogate weighting procedures for the PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 264(2), pages 453-461.

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