Abstract
The aim of this chapter is to review the key statistical approaches to generating the weights of alternatives from a PC matrix and, in so doing, to relate the embedded models into the traditional linear stochastic models used in the method of pairwise comparisons. The chapter comprises a brief account of the method of pairwise comparisons and a formal specification of a PC matrix. Statistical approaches to the analysis of judgment matrices are then introduced within the context of pairwise comparisons, with those which are distribution based, and those based more directly on the method of pairwise comparisons. Illustrative examples are presented and discussed and conclusions and prospects for further research are given.
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RamÃk, J. (2020). Stochastic Approaches to Pairwise Comparisons Matrices in Decision-Making. In: Pairwise Comparisons Method. Lecture Notes in Economics and Mathematical Systems, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-030-39891-0_5
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DOI: https://doi.org/10.1007/978-3-030-39891-0_5
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