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

  • Elchin AliyevEmail author
  • Hajar Shikhaliyeva
  • Zaur Gaziyev
  • Adila Ali
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


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.


Financial indicators of solvency Fuzzy time series Fuzzy set 



The authors consider necessary to express their appreciation to Professor R.R. Rzayev for the help that he rendered during the process of writing and preparing this article.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Elchin Aliyev
    • 1
    Email author
  • Hajar Shikhaliyeva
    • 1
  • Zaur Gaziyev
    • 1
  • Adila Ali
    • 2
  1. 1.Institute of Control Systems of ANASBakuAzerbaijan
  2. 2.University College LondonLondonUK

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