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A multi-criteria prediction model for project risk classifications

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  • Rueben Laryea

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.

Suggested Citation

  • Rueben Laryea, 2013. "A multi-criteria prediction model for project risk classifications," International Journal of Decision Sciences, Risk and Management, Inderscience Enterprises Ltd, vol. 5(1), pages 55-79.
    • Handle: RePEc:ids:ijdsrm:v:5:y:2013:i:1:p:55-79
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    References listed on IDEAS

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