Abstract
Ordered weighted averaging (OWA) functions have been extensively used to model problem of choice and consensus in the presence of multiple experts and decision makers. Since each OWA is associated to a weight vector many scholars have focused on the problem of the determination of this weight vector. In this study, we consider orness and entropy, two characterizing measures of priority vectors, and we study their interplay from a graphical point of view.
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Acknowledgements
The research of Matteo Brunelli was funded by the Academy of Finland (decision no. 277135).
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Mezei, J., Brunelli, M. (2018). A Closer Look at the Relation Between Orness and Entropy of OWA Function. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_13
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DOI: https://doi.org/10.1007/978-3-319-60207-3_13
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