A Novel TOPSIS based Consensus Technique for Multiattribute Group Decision Making

Consensus in a group decision setting is a challenging task. We propose a new group consensus technique utilizing TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) based preference aggregation approach. The technique applies ranking outcome similarity based selection approach in order to select the most preferred consensus technique. We then present a numerical example for better illustrating the new developments along with simulation based comparative results with traditional approach. The new technique provides better overall decision similarity to the group members' individual decisions and produces lower tied rankings.