A multi-criteria prediction model for project risk classifications

Rueben Laryea

International Journal of Decision Sciences, Risk and Management, 2013, vol. 5, issue 1, 55-79

Abstract: Project distress predictions are essential in project management. Developing appropriate methods to classify projects and building prediction models for multi-criteria decisions requires empirical methods to minimise misclassification errors. This paper carries out multi-criteria analysis to classify projects risks using a preference disaggregation method, utilités additives discriminantes - UTADIS. The UTADIS requires predefined classification which is implemented using critical path analysis. The methods are applied on three projects and result in no misclassification error and an effective prediction model.

Keywords: project risks; uncertainty; multicriteria decision making; MCDM; classifications; utilités additives discriminantes; UTADIS; critical path analysis; CPA; risk classification; project management; prediction models; modelling. (search for similar items in EconPapers)
Date: 2013
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