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Evidence indicates that risks in IT projects which are not effectively managed and lack of identification and management during the life cycle of a project can contribute to their failures. Traditional risk assessment methods usually model risks with objective probabilities based on the expected frequency of repeatable events. Meanwhile, managers prefer to linguistically represent likelihoods because of the uncertainty and vagueness of risk factors. The objective of this paper is to identifydoi:10.22452/mjcs.vol28no3.4 fatcat:kptjjojx5rganj76twgqfsyeqm