We provide an axiomatic characterization of a family of criteria for ranking completely uncertain decisions. A completely uncertain decision is described by the set of all its consequences (assumed to be finite). Each of the criterions characterized can be thought of as assigning to all...

The current paper is the first to report an experimental study of “Min- and Max-induced rankings” (MMIR), i.e., a family of set rankings that require preferences over sets to be induced from comparison of the best and/or worst elements within those sets. These MMIR do not perform well in...