Functional hybrid decision-making system for difficult formalized productive and economic problems

Abstract

A steady trend of the development of modern processes in human activities (social, economic, bioengineering, medical, technological) is a complication of the tasks, which are to be tackled on different levels of administration. This is connected with growth of amount of inconsistent information, necessary for well-grounded decision making, as well as with time saving for decision making. To improve the quality of decisions taken in these conditions, intellectual decision-making systems and artificial intelligence methods, on which the procedures for the direct preparation of solutions to various tasks are shifted, are increasingly being used. The article deals with the fundamentals of the structural organization of functional hybrid intelligent decision-making systems designed to solve difficult formalizable production and economic tasks, and suggests a new cognitive approach in the development of integration and effective management of formalized and weakly formalized knowledge in decision-making systems.