A general method is given for revising degrees of belief and arriving at
consistent decisions about a system of logically constrained issues. In
contrast to other works about belief revision, here the constraints are assumed
to be fixed. The method has two variants, dual of each other, whose revised
degrees of belief are respectively above and below the original ones. The upper
[resp. lower] revised degrees of belief are uniquely characterized as the
lowest [resp. highest] ones that are invariant by a certain max-min [resp.
min-max] operation determined by the logical constraints.
A method is given for determining a mixed social choice out of a
paired-comparison matrix. The method combines a projection procedure introduced
in previous papers of the same authors and a classical method due to Zermelo.
The resulting method is proved to have certain desirable properties, which
include: compliance with a majority principle, clone consistency, and
continuity of the mixing fractions with respect to the data.
A method is given for quantitatively rating the social acceptance of
different options which are the matter of a preferential vote. In contrast to a
previous article, here the individual votes are allowed to be incomplete, that
is, they need not express a comparison between every pair of options. This
includes the case where each voter gives an ordered list restricted to a subset
of most preferred options. In this connection, the proposed method (except for
one of the given variants) carefully distinguishes a lack of information about
a given pair of options from a proper tie between them.
A method is given for quantitatively rating the social acceptance of
different options which are the matter of a complete preferential vote.
Completeness means that every voter expresses a comparison (a preference or a
tie) about each pair of options. The proposed method is proved to have certain
desirable properties, which include: compliance with a majority principle,
clone consistency, and continuity of the rates with respect to the data. One
can view this method as a quantitative complement for a qualitative method
introduced in 1997 by Markus Schulze.