A gradient method for inconsistency reduction of pairwise comparisons matrices
Résumé
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.
Domaines
- Géométrie différentielle [math.DG]
- Mathématiques générales [math.GM]
- Géométrie métrique [math.MG]
- Systèmes Solubles et Intégrables [nlin.SI]
- Dynamique Chaotique [nlin.CD]
- Formation de Structures et Solitons [nlin.PS]
- Physique mathématique [math-ph]
- Physique Quantique [quant-ph]
- Sciences de l'information et de la communication
- Gestion et management
- Physique mathématique [math-ph]
- Algèbres d'opérateurs [math.OA]
- Théorie spectrale [math.SP]
- Equations aux dérivées partielles [math.AP]
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