Comparison Based Group Ranking Outcome for Multiattribute Group Decisions

Abstract

A novel group consensus methodology for group ranking problems is presented in this paper. The method considers all the possible ranking outcomes for a given set of decision alternatives. Decision makers are given the freedom to provide their own ranking outcomes using their chosen ranking methods. Spearman's rank correlation is then used to calculate the overall similarity for each of the possible ranking outcomes. The overall similarity for each ranking outcome in the solution space is calculated using its similarities to the ranking outcomes given by the decision makers. The ranking outcome in the solution space which is most similar to the decision makers ranking outcomes is the most preferred one by the group.