Hybridization of statistical and cognitive experience feedbacks to perform risk assessment
Résumé
This paper aims to present a study on knowledge management. We develop decision-support mechanisms hybridizing statistical and cognitive experience feedback to perform risk assessments on critical areas of a system. We propose an approach for combining expert opinion and statistics by using belief functions and by processing the combined knowledge in a directed evidential network to provide a risk measure.
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