Finance Resistance of Concerns Modeling Using Fuzzy Logics, Neural Networks and Discriminant Analysis Theories

Abstract

Article exhibits conceptual approach to financial resistance of enterprise modeling consisting in the financial situation of company assessment by dint of possible bankruptcy prediction on a basis of analogies between that company, bankrupt firms and financially stable companies operation indicators. For economy-mathematics bankruptcy prediction models construction author applies fuzzy logics, neural networks and discriminant analysis theories. All models are built on the same explaining variables sets and optimized on identical statistics Ukrainian enterprises activity. Testing was brought about on equal statistic excerption affording possibility of carrying out comparative analysis and of getting conformable conclusions respecting the efficacy of diversiform mathematic tools to settle disquisition objects classification problem.