Biased experts and similarity based weights in preferences aggregation
Contribuinte(s) |
Alonso, J. M. Bustince, H. Reformat, M. |
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Data(s) |
01/01/2015
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Resumo |
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 averaging 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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Atlantis Press |
Relação |
http://dro.deakin.edu.au/eserv/DU:30077923/belikov-biasedexpertsand-2015.pdf http://dro.deakin.edu.au/eserv/DU:30077923/belikov-biasedexpertsand-evid1-2015.pdf http://dro.deakin.edu.au/eserv/DU:30077923/belikov-biasedexpertsand-evid2-2015.pdf http://www.dx.doi.org/10.2991/ifsa-eusflat-15.2015.53 http://www.atlantis-press.com/php/pub.php?publication=ifsa-eusflat-15 |
Direitos |
2015, Atlantic Press |
Palavras-Chave | #Science & Technology #Technology #Computer Science, Artificial Intelligence #Computer Science #aggregation functions #non-monotonic averaging #consensus #pairwise preferences #group decision making #induced OWA #GROUP DECISION-MAKING #CONSENSUS MODEL #OPERATORS |
Tipo |
Conference Paper |