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The article states that risk management decision-making systems often operate on models of subject areas that are characterized by significant uncertainty. Traditional models of decision-making systems do not allow to take into consideration both quantitative and qualitative characteristics of objects in a complex manner. In addition, for the construction of traditional analytical, probable and simulation models, there is often no reliable data.The solution of these problems is proposed to be obtained on the basis of the theory of fuzzy sets. A fuzzy self-tuning model and its training approach is proposed, which assumes that presented sample is formed onthe basis of the learning examples presented by sets of α-levels of fuzzy numbers.

Fuzzy Self-tuning Model for Analysis of Project Risks