A general method for deciding about logically constrained issues

TL;DR

This paper introduces a general, fixed-constraint method for belief revision and decision-making that guarantees logical consistency, respects majority and unanimity principles, and unifies several established techniques.

Contribution

It proposes a novel dual-variant approach to belief revision under fixed logical constraints, characterized by max-min and min-max operations, unifying existing methods like clustering and voting.

Findings

Ensures decisions are consistent with logical constraints.

Respects majority and unanimity principles.

Unifies several established decision-making methods.

Abstract

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. In both variants, making balance between the revised degree of belief of a proposition and that of its negation leads to decisions that are ensured to be consistent with the logical constraints. These decisions are ensured to agree with the majority criterion as applied to the original degrees of belief whenever this gives a consistent result. They are also also ensured to satisfy a property of respect for unanimity about any particular issue, as well as a property of monotonicity with respect to the original degrees of belief. The application of the method to certain special domains comes down to well established or increasingly accepted methods, such as the single-link method of cluster analysis and the method of paths in preferential voting.