Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Biased experts and similarity based weights in preferences aggregation

Gleb Beliakov, Simon James, Laura Smith, Tim Wilkin
Corresponding author
Aggregation functions, non-monotonic averaging, consensus, pairwise preferences, group decision making, induced OWA.
In a group decision making setting, we consider the potential impact an expert can have on the overall ranking by providing a biased assessment of the alternatives that differs substantially from the majority opinion. In the framework of similarity based veraging functions, we show that some alternative approaches to weighting the experts’ inputs during the aggregation process can minimize the influence the biased expert is able to exert.
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