Intellectual decision-making support on budgetary crediting of the regions

The task about granting the budgetary credits to regions is considered, its mathematical formulation is given and features of decision are distinguished. The examples of socio-economic development indicators of regions are given. Due to weak structuring of budgetary crediting problem the system approach to its decision is offered. The basic groups of the factors influencing decision-making are formed. These factors determine the financial state of the regions, their economic situation and regional processes in the social sphere. The assessment of socio-economic indices and coordination of decisions on each group of the factors are executed by means of neuro-fuzzy network. Network structure reflects the qualified expert knowledge in the field of the region budgetary crediting, presented in the form of fuzzy variables and fuzzy rules. The architecture of the network is developed and the features of its training are explained.