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A new visualization for preferences evolution in group decision making

Consensus reaching processes (CRPs) in Group Decision Making (GDM) try to reach a mutual agreement among a group of decision makers before making a decision. To evaluate and understand the performance of a CRP is often complex due to, mainly, the presence of disagreement among decision makers. A clear, simple, correct and suitable visualization of the discussion consensus rounds is key for facilitating the analysis of such performance because, without a clear visualization, it is hard to understand the disagreements among experts. This paper proposes a new visualization related to experts’ preferences and their evolution for CRPs based on the Principal Component Analysis (PCA).