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Consensus for belief functions and related uncertainty measures

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Abstract

We extend previous work of Lehrer and Wagner, and of McConway, on the consensus of probabilities, showing under axioms similar to theirs that (1) a belief function consensus of belief functions on a set with at least three members and (2) a belief function consensus of Bayesian belief functions on a set with at least four members must take the form of a weighted arithmetic mean. We observe that these results are unchanged when consensual uncertainty measures are allowed to take the form of Choquet capacities of low order monotonicity.

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References

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This work was supported in part by a grant from the University of Tennessee Artificial Intelligence Group, and by the U.S. Naval Sea Systems Command, through a grant to Oak Ridge National Laboratory.

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Wagner, C.G. Consensus for belief functions and related uncertainty measures. Theor Decis 26, 295–304 (1989). https://doi.org/10.1007/BF00134110

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