Please use this identifier to cite or link to this item:
http://repository.hneu.edu.ua/handle/123456789/23521| Title: | Сomparison of using fuzzy logic and neuro-fuzzy networks for modelling corporate bankruptcy risk estimation |
| Authors: | Klebanova T. S. Gvozdytskyi V. S. |
| Keywords: | several models of the estimation fuzzy logic method neural fuzzy method |
| Issue Date: | 2020 |
| Publisher: | ХНЕУ ім. С. Кузнеця |
| Citation: | Klebanova T. S. Сomparison of using fuzzy logic and neuro-fuzzy networks for modelling corporate bankruptcy risk estimation [Електронний ресурс] / T. S. Klebanova, V. S. Gvozdytskyi // Сучасні проблеми моделювання соціально-економічних систем : матеріали XII міжнар.наук.-практ.конф., 09-10 квіт. 2020 р.– Братислава – Харків, ВШЕМ – ХНЕУ ім. С. Кузнеця, 2020. – Режим доступу : http://mpsesm.org/book/2020/. |
| Abstract: | The article is devoted to the development of several models of the estimation of the bankruptcy threat by using fuzzy logic and neural fuzzy methods. The paper contains a description of the main advantages of both methods. The results of using built models are analyzed and compared. |
| URI: | http://repository.hneu.edu.ua/handle/123456789/23521 |
| Appears in Collections: | Статті (ЕКСА) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| COMPARISON OF USING FUZZY LOGIC AND NEURO-FUZZY NETWORKS FOR MODELLING CORPORATE BANKRUPTCY RISK ESTIMATION _ MPSESM-2020.pdf | 139,23 kB | Adobe PDF | View/Open |
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