Abstract: Let Γ be a population of elements or objects concerned by the problem of recognition. By assumption, some experts give probabilistic predictions of unknown belonging classes γ of objects a∈Γ , being already aware of their description X (a) . In this paper, we present a method of aggregating sets of individual statements into a collective one using distances / similarities between multidimensional sets in heterogeneous feature space.

Keywords: pattern recognition, distance between experts statements, consensus.

ACM Classification Keywords: I.2.6. Artificial Intelligence - knowledge acquisition.

Link:

CONSTRUCTING OF A CONSENSUS OF SEVERAL EXPERTS STATEMENTS∗

Gennadiy Lbov, Maxim Gerasimov

http://www.foibg.com/ijita/vol14/ijita14-1-p12.pdf