Abstract
The problem of deriving a binary relation over alternatives based on paired comparisons is studied. The problem is tackled in the framework of belief functions, which is well-suited to model and manipulate partial and uncertain information. Starting from the work of Tritchler and Lockwood [8], the paper proposes a general model of mass allocation and combination, and shows how to practically derive a complete or a partial ranking of the alternatives. A small example is provided as an illustration.
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© 2012 Springer-Verlag Berlin Heidelberg
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Masson, MH., Denœux, T. (2012). Ranking from Pairwise Comparisons in the Belief Functions Framework. In: Denoeux, T., Masson, MH. (eds) Belief Functions: Theory and Applications. Advances in Intelligent and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29461-7_36
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DOI: https://doi.org/10.1007/978-3-642-29461-7_36
Publisher Name: Springer, Berlin, Heidelberg
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