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Detail publikačního výsledku
ŠEBESTOVÁ, M.
Original Title
Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This article deals with the application of the neuro-fuzzy approach for predicting bankruptcies in the Czech Republic. The prediction is based on financial indicators of manufacturing companies from 2012–2016. The obtained data are used to design ANFIS, with the advantage of the possibility to model complex, dynamic and non-linear problems, when compared to statistical methods. Based on the established results it can be stated that the designed model is capable of revealing an enterprise prone to bankruptcy with a given probability and thus giving a picture of its current development.
English abstract
Keywords
Neuro-fuzzy, bankruptcy, financial indicators
Key words in English
Authors
RIV year
2019
Released
15.11.2018
Publisher
International Business Information Management Association (IBIMA)
Location
Seville, Spain
ISBN
978-0-9998551-1-9
Book
Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth
Pages from
1071
Pages to
1080
Pages count
10
Full text in the Digital Library
http://hdl.handle.net/
BibTex
@inproceedings{BUT151714, author="Monika {Šebestová}", title="Bankruptcy Prediction for Manufacturing Companies Using the ANFIS Model", booktitle="Vision 2020: Sustainable Economic Development and Application of Innovation Managemen from Regional expansion to Global Growth", year="2018", number="32", pages="1071--1080", publisher="International Business Information Management Association (IBIMA)", address="Seville, Spain", isbn="978-0-9998551-1-9" }