PL EN


2010 | 13 | 1(46) | 155-164
Article title

EFFECTIVENESS OF EXPERTS' SYSTEM AND ARTIFICIAL INTELIGENCE IN FORECASTING BANCRUPTCY OF COMPANIES (Skutecznosc systemu eksperckiego i sztucznej inteligencji w prognozowaniu upadlosci firm)

Authors
Title variants
Languages of publication
PL
Abstracts
EN
This article is about the prediction of bankruptcy of companies in Poland. The author compares two methods of forecasting the risks of bankruptcy of companies: artificial neural networks and fuzzy logic. In the conducted research he used data of 185 companies listed on the Warsaw Stock Exchange. This population of firms was divided into learning and testing set data. Each company has been analyzed using the absolute values of 14 financial ratios and the dynamics of change of these ratios. The author's developed models of fuzzy logic are characterized by high efficiency. These studies are the first attempt to use fuzzy logic to predict the bankruptcy of companies in Poland and one of the first in the world. Obtained results demonstrate the great potential of this method.
Keywords
Year
Volume
13
Issue
Pages
155-164
Physical description
Document type
ARTICLE
Contributors
  • Tomasz Korol, Politechnika Gdanska, Wydzial Zarzadzania i Ekonomii, ul. Narutowicza 11/12, 80-233 Gdansk, Poland
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
10PLAAAA080913
YADDA identifier
bwmeta1.element.7afbbcb4-eb45-310c-a2dc-270b134274aa
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.