Fuzzy Group Decision Making: A case using FTOPSIS in mega project risk identification and analysis concurrently

This study aims at improving the quality and effectiveness of decision making in project risk management. Conventional approaches to risk identification and risk assessment separately tend to be less effective in dealing with the imprecise of the risk assessment individually. In order to solve this problem, project manager need to evaluate their problem including both quantitative and qualitative criteria and to make accurate decisions. For this reason, a systematic decision process for identifying and analyzing risks concurrently by applying multi attribute group decision making (MAGDM) in fuzzy environment is proposed. The paper introduces a new procedure for classifying potential risks. Obtained results have been applied in one mega project successfully.