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This doctoral thesis is focused on the problem of investment decision making under uncertainty with computer support. On the basis of theoretical and empirical findings there was designed proposal of artificial intelligence tools implementation into the present methods of investment decision making under uncertainty. Constructive idea of this doctoral thesis is in fuzzy model of investment decision making for non-financial companies investments and implementation of this model into the knowledge base of expert system. Methodology of investment decision making under uncertainty was created on the background of mentioned practice of decision making about investment. Although from the first sight designed methodology appears to be complicated it has proved high effective in practice.