Resource allocation under uncertainty: an algebraic and qualitative treatment

05/17/2018
by   Franklin Camacho, et al.
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We use an algebraic viewpoint, namely a matrix framework to deal with the problem of resource allocation under uncertainty in the context of a qualitative approach. Our basic qualitative data are a plausibility relation over the resources, a hierarchical relation over the agents and of course the preference that the agents have over the resources. With this data we propose a qualitative binary relation between allocations such that FG has the following intended meaning: the allocation F produces more or equal social welfare than the allocation G. We prove that there is a family of allocations which are maximal with respect to . We prove also that there is a notion of simple deal such that optimal allocations can be reached by sequences of simple deals. Finally, we introduce some mechanism for discriminating optimal allocations.

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