Characterizations of scoring methods for preference aggregation
Optimization and Control
2007-05-23 v1 Multiagent Systems
Functional Analysis
Abstract
The paper surveys more than forty characterizations of scoring methods for preference aggregation and contains one new result. A general scoring operator is {\it self-consistent} if alternative is assigned a greater score than whenever gets no worse (better) results of comparisons and its `opponents' are assigned respectively greater (no smaller) scores than those of . We prove that self-consistency is satisfied if and only if the application of a scoring operator reduces to the solution of a homogeneous system of algebraic equations with a monotone function on the left-hand side.
Keywords
Cite
@article{arxiv.math/0602522,
title = {Characterizations of scoring methods for preference aggregation},
author = {Pavel Chebotarev and Elena Shamis},
journal= {arXiv preprint arXiv:math/0602522},
year = {2007}
}
Comments
33 pages; with tables and figures