Models and methods of intellectual support in management decisions for technical systems

Application of classical mathematical methods to solution of decision-making problems is somewhat difficult, but intelligent systems are more effective in such a case since intelligent systems are the synthesis of adaptive and conventional mathematical algorithms. On the basis of analysis of existing methodologies for intellectual support of management decisions, the author justifies the developed modified fuzzy neural network, as one, eliminating the drawbacks of existing methodologies, and being more effective.