作者: Konrad Kułakowski , Jacek Szybowski , Anna Prusak
DOI: 10.1016/J.IJAR.2019.10.002
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摘要: Abstract Apart from consistency, the completeness of information is one key factors influencing data quality. In case pairwise comparisons (PC) method, much space in literature devoted to quantitative analysis this first idea, while second issue has not been properly studied. The presented article an attempt bridge gap. aim examine how incompleteness a set paired influences sensitivity PC method. During research, two important related matrices have identified, namely number missing and their arrangements. Accordingly, easy-to-calculate index developed. It takes into account both total distribution matrix. series Montecarlo experiments, properties examined. demonstrated that inconsistency almost equally contribute relative simplicity proposed may help decision makers quickly estimate impact on quality final results.