A comparative study on decision support approaches under uncertainty

Abstract

This paper presents a comparative study between two approaches for decision support examined to the reference problem of energy retrofit and indoor environment quality in buildings. Two approaches will be presented. The first concerns a proposition based on multi-criteria analysis methodology and the second is based on Bayes’ mathematical theory. The aim is to examine ways of constructing decision support systems which can produce credible decisions under uncertainty. For this purpose, criteria relevant to the given problem will be examined, while attempting to choose those which need less measured or audited information to perform calculations.