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A multiple criteria socio-technical approach for the Portuguese Army Special Forces recruitment

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Listed:
  • Ana Sara Costa

    (Universidade de Lisboa)

  • José Rui Figueira

    (Universidade de Lisboa)

  • José Borbinha

    (Universidade de Lisboa)

Abstract

Cat-SD (Categorization by Similarity-Dissimilarity) is a method developed for handling nominal classification problems in the context of Multiple Criteria Decision Aiding (MCDA). This paper describes the design and implementation of this method and an application dealing with a recruitment and selection process in the Special Forces of the Portuguese Army. Besides, it proposes interaction protocols to elicit the preference parameters of the method to facilitate the construction of a decision model when the analyst guides the decision maker. Cat-SD has been implemented in DecSpace, a user-friendly online platform for supporting decision aiding processes using one or more MCDA methods simultaneously. The study related to the Portuguese Army Special Forces recruitment and selection demonstrates how these protocols and a tool like DecSpace can facilitate the process of applying the method in real-world scenarios.

Suggested Citation

  • Ana Sara Costa & José Rui Figueira & José Borbinha, 2022. "A multiple criteria socio-technical approach for the Portuguese Army Special Forces recruitment," 4OR, Springer, vol. 20(2), pages 289-331, June.
    • Handle: RePEc:spr:aqjoor:v:20:y:2022:i:2:d:10.1007_s10288-021-00481-2
    DOI: 10.1007/s10288-021-00481-2
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    References listed on IDEAS

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    13. Costa, Ana Sara & Corrente, Salvatore & Greco, Salvatore & Figueira, José Rui & Borbinha, José, 2020. "A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 986-1001.
    14. Bottero, M. & Ferretti, V. & Figueira, J.R. & Greco, S. & Roy, B., 2015. "Dealing with a multiple criteria environmental problem with interaction effects between criteria through an extension of the Electre III method," European Journal of Operational Research, Elsevier, vol. 245(3), pages 837-850.
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