Forecasting the Solvency of Legal Entities on the Base of Fuzzy Modeling of the Time Series of Their Financial Indicators

التفاصيل البيبلوغرافية
العنوان: Forecasting the Solvency of Legal Entities on the Base of Fuzzy Modeling of the Time Series of Their Financial Indicators
المؤلفون: Elchin Aliyev, Hajar Shikhaliyeva, Zaur Gaziyev, Adila Ali
المصدر: 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 ISBN: 9783030041632
بيانات النشر: Springer International Publishing, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Finance, Solvency, Series (mathematics), Computer science, business.industry, Fuzzy set, Base (topology), business, Fuzzy logic
الوصف: The methodology for assessing the prospective solvency of legal entities under uncertainty is considered on the base of fuzzy models predicting weakly structured time series of financial indicators and fuzzy method of multi-criteria choice of alternatives.
ردمك: 978-3-030-04163-2
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::09aeea043c0f6c6b2aa299492f347d7d
https://doi.org/10.1007/978-3-030-04164-9_75
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........09aeea043c0f6c6b2aa299492f347d7d
قاعدة البيانات: OpenAIRE