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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