A multi-criteria prediction model for project risk classifications Online publication date: Mon, 30-Jun-2014
by Rueben Laryea
International Journal of Decision Sciences, Risk and Management (IJDSRM), Vol. 5, No. 1, 2013
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.
Online publication date: Mon, 30-Jun-2014
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