Problems with Risk Matrices Using Ordinal Scales
Risk Management
2021-03-10 v1
Abstract
In this paper, we discuss various problems in the usage and definition of risk matrices. We give an overview of the general process of risk assessment with risk matrices and ordinal scales. Furthermore, we explain the fallacies in each phase of this process and give hints on which decisions may lead to more problems than others and how to avoid them. Among those 24 discussed problems are ordinal scales, semi-quantitative arithmetics, range compression, risk inversion, ambiguity, and neglection of uncertainty. Finally, we make a case for avoiding risk matrices altogether and instead propose using fully quantitative risk assessment methods.
Keywords
Cite
@article{arxiv.2103.05440,
title = {Problems with Risk Matrices Using Ordinal Scales},
author = {Michael Krisper},
journal= {arXiv preprint arXiv:2103.05440},
year = {2021}
}
Comments
11 pages, 9 figures