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A gradient method for inconsistency reduction of pairwise comparisons matrices

Author

Listed:
  • Jean-Pierre Magnot

    (LAREMA - Laboratoire Angevin de Recherche en Mathématiques - UA - Université d'Angers - CNRS - Centre National de la Recherche Scientifique)

  • Jiří Mazurek
  • Viera Čerňanová

Abstract

We investigate an application of a mathematically robust minimization methodthe gradient method-to the consistencization problem of a pairwise comparisons (PC) matrix. Our approach sheds new light on the notion of a priority vector and leads naturally to the definition of instant priority vectors. We describe a sample family of inconsistency indicators based on various ways of taking an average value, which extends the inconsistency indicator based on the "sup"-norm. We apply this family of inconsistency indicators both for additive and multiplicative PC matrices to show that the choice of various inconsistency indicators lead to non-equivalent consistencization procedures.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Pierre Magnot & Jiří Mazurek & Viera Čerňanová, 2023. "A gradient method for inconsistency reduction of pairwise comparisons matrices," Post-Print hal-03872798, HAL.
  • Handle: RePEc:hal:journl:hal-03872798
    DOI: 10.1016/j.ijar.2022.10.005
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