Abstract: The problem of corporations bankruptcy risk prediction is considered. Classical methods of discriminant analysis are described and analyzed. The matrix method based on fuzzy sets and new methods using fuzzy neural networks for bankruptcy risk prediction are considered, The experimental investigations of classical and new fuzzy methods for Ukrainian corporations bankruptcy risk prediction were carried out, their efficiency estimated and the best method for Ukrainian economy was determined.

Keywords: bankruptcy risk prediction, method of discriminant analysis, fuzzy neural networks

Link:

АНАЛИЗ ФИНАНСОВОГО СОСТОЯНИЯ И ПРОГНОЗИРОВАНИЕ РИСКА БАНКРОТСТВА КОРПОРАЦИЙ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ

Ови Нафас Агаи Аг Гамиш, Юрий Зайченко

http://www.foibg.com/ijima/vol01/ijima01-4-p03.pdf