Risk management framework based on multi-criteria decision method and artificial intelligence tools

Adil Waguaf, Rajaa Benabbou and Jamal Benhra

International Journal of Business Continuity and Risk Management, 2023, vol. 13, issue 4, 364-381

Abstract: Companies invest in the implementation of risk management frameworks that are efficient, structured, and in accordance with the ISO 31000 standard. Our work is to propose a new global methodology for developing a risk management framework based on artificial intelligence tools: genetic algorithms GA for calibrating weighting coefficients and calculating weights; the MCDM multi-criteria decision-making method, especially the 'technical for order of priority by similarity to ideal solution' 'TOPSIS' method for the evaluation and acceptability of risks; and artificial neural networks for the prediction of the cost of treatment of risks and the number of work accidents from historical data of work accidents. This framework will allow the automation of the process to facilitate acquisition and its objectivity. The results obtained are satisfactory based on the calculation of the error.

Keywords: ISO 31000; artificial neural networks; risk management framework; genetic algorithm; TOPSIS. (search for similar items in EconPapers)
Date: 2023
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