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.
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Christias, P. (2019). A Comparative Study on Decision Support Approaches Under Uncertainty. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_45
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DOI: https://doi.org/10.1007/978-3-030-04849-5_45
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