Quantitative estimation of fuzzy crisis management

The model and the description of numerical assessment uncertain (fuzzy) controls in implementation crisis management so-called "gray area", combining transient states system, is presented article. behavior economic (financial) system described by a multidimensional vector, for example, Altman five-factor model. estimates given this are distributed over three ranges, corresponding to stable state negative state, area" which trajectory movement towards bankruptcy zone outlined consisting can be evaluated means fuzzy variables, characterizing proximity zone. According values these must implemented bring into favorable general apparatus determining strategies sufficiently developed, at same time, determination characteristics controls, as an independent task, requires further formalization development methods. This article contains one possible its using analytical library Python language. algorithm quite universal relatively simply adapted taking account specific features problem. A distinctive feature approach proposed article, example comparison with neural network models, decrease degree subjectivity choice control rules. determined here not function measure, but weight coefficients significance options real resources their implementation.