Intellectual simulation in the decision-making task within internal revenue service

Abstract

The approach to increase of efficiency of decisionmaking of tax regulation at the expense of use of intellectual simulation is considered. Within this approach the method of selection of factors of an assessment of a financial status of the enterprises in procedure of their clustering on neural networks on the basis of the Bayesian approach is offered. Results of researches of efficiency of the offered method on the example of an assessment of solvency of the enterprises in different branches of a national economy are provided.