Csató, László; Rónyai, Lajos Incomplete pairwise comparison matrices and weighting methods. (English) Zbl 1360.91086 Fundam. Inform. 144, No. 3-4, 309-320 (2016). Summary: A special class of preferences, given by a directed acyclic graph, is considered. They are represented by incomplete pairwise comparison matrices as only partial information is available: for some pairs no comparison is given in the graph. A weighting method satisfies the linear order preservation property if it always results in a ranking such that an alternative directly preferred to another does not have a lower rank. We study whether two procedures, the Eigenvector Method and the Logarithmic Least Squares Method meet this axiom. Both weighting methods break linear order preservation, moreover, the ranking according to the Eigenvector Method dependson the incomplete pairwise comparison representation chosen. Cited in 2 Documents MSC: 91B08 Individual preferences 90B50 Management decision making, including multiple objectives 91B06 Decision theory Keywords:directed acyclic graph; incomplete pairwise comparison matrix; eigenvector method; logarithmic least squares method PDFBibTeX XMLCite \textit{L. Csató} and \textit{L. Rónyai}, Fundam. Inform. 144, No. 3--4, 309--320 (2016; Zbl 1360.91086) Full Text: DOI arXiv