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.
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