Group priority vector based on comparison judgments

The mean and maximum satisfaction methods of prioritization in AHP are introduced, and a new consistency index of comparison judgment is put forward. In application the two consistency index respectively showing the mean and maximum satisfaction degree should be simultaneously considered. At the same time, the paper makes an in-depth research on three group aggregation methods about comparison judgments. Among the three methods, aggregating individual priorities method (AIP) is preferred and the fuzzy cluster is used to determine the parameters in AIP. Finally, a numerical example illustrating the utilization and validity of the methods is presented in this paper. In such a way, the article aims at getting a more scientific and reasonable priority vector for a group of given comparison judgments.