Bayesian approach for criteria weights recalculation
Articles
Irina Vinogradova
Vilniaus Gedimino technikos universitetas
Published 2015-12-05
https://doi.org/10.15388/LMR.B.2015.09
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Keywords

the choice of alternatives
Bayesian method
expert evaluation
MCDM
distance learning courses
weights

How to Cite

Vinogradova I. (2015) “Bayesian approach for criteria weights recalculation”, Lietuvos matematikos rinkinys, 56(B), pp. 46–51. doi: 10.15388/LMR.B.2015.09.

Abstract

Multiple Criteria Decision Making (MCDM) methods are effectively used in decision making tasks. The weights of criteria are an integral part of MCDM methods. The paper proposes the Bayesian approach to recalculate the weights of the criteria, when the decision-maker takes into account the opinions of other expert groups. Recalculation is relevant when the selection is individualized by the opinion of separate expert group. In this paper the distance learning course was chosen by separate group of experts, using SAW and TOPSIS methods and recounted criteria weights by Bayesian method.

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