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AHP-Like Matrices and Structures—Absolute and Relative Preferences

Author

Listed:
  • David Koloseni

    (Department of Mathematics, University of Dar es Salaam, Dar es Salaam 35065, Tanzania)

  • Tove Helldin

    (School of Informatics, University of Skövde, 54128 Skövde, Sweden)

  • Vicenç Torra

    (School of Informatics, University of Skövde, 54128 Skövde, Sweden
    Hamilton Institute, Maynooth University, W23 A5Y6 Maynooth, Ireland)

Abstract

Aggregation functions are extensively used in decision making processes to combine available information. Arithmetic mean and weighted mean are some of the most used ones. In order to use a weighted mean, we need to define its weights. The Analytical Hierarchy Process (AHP) is a well known technique used to obtain weights based on interviews with experts. From the interviews we define a matrix of pairwise comparisons of the importance of the weights. We call these AHP-like matrices absolute preferences of weights. We propose another type of matrix that we call a relative preference matrix. We define this matrix with the same goal—to find the weights for weighted aggregators. We discuss how it can be used for eliciting the weights for the weighted mean and define a similar approach for the Choquet integral.

Suggested Citation

  • David Koloseni & Tove Helldin & Vicenç Torra, 2020. "AHP-Like Matrices and Structures—Absolute and Relative Preferences," Mathematics, MDPI, vol. 8(5), pages 1-12, May.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:5:p:813-:d:359407
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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