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Abstract

Uncertainty and risk which are associated with company’s activity require a special instrument supporting process of the managers’ decision making. The objective of the research is to determine the number features characterizing the financial risk – financial condition of companies. A quality of financial condition evaluation depends on the selection of variables (features) and criteria of the assessment. The choice of financial ratios in the study of financial standing of companies is crucial. The article presents the proposal to apply branch and bound method to choose sub-optimal subsets of financial ratios that best describe the subject of the research, which is the company, under the assumption that classification algorithms are used for evaluation function creation. The aim of this study is to present a solution that allows the selection of financial ratios with a very high cognitive value, enabling the building of integrated measures assess the financial condition of the company.

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References

  1. Karol, T.: Nowe podejście do analizy finansowej, wyd. Oficyna a Kluwer Business, Warszawa (2013)

    Google Scholar 

  2. Sobczak, W., Malina, W.: Metody selekcji i redukcji informacji. NT, Warszawa (1985)

    Google Scholar 

  3. Walesiak, M.: Uogólniona miara odległości w statystycznej analizie wielowymiarowej, Wyd. AE we Wrocławiu, Wrocław (2002)

    Google Scholar 

  4. Wilimowska, Z.: Kombinatoryczna metoda selekcji cech w rozpoznawaniu obrazów na podstawie wzrostu ryzyka. Archiwum Automatyki i Telemechaniki. 25(3), 405–415 (1980)

    MathSciNet  Google Scholar 

  5. Wilimowska, Z.: Względna dyskretna ocena ryzyka w szacowaniu wartości firmy. In: Information Systems Applications and Technology ISAT 2002 Seminar. Modele zarządzania, koncepcje, narzędzia i zastosowania. Materiały międzynarodowego seminarium, Karpacz, 11–13 grudnia, Wrocław (2002)

    Google Scholar 

  6. Wilimowska Z.: Dyskretny pomiar ryzyka w badaniu kondycji finansowej przedsiębiorstwa. W: Naukovi Praci Kirovograds’kogo Nacional’nogo Technicnogo Universitetu. Ekonomicni Nauki. vyp. 7 (2005)

    Google Scholar 

  7. Wilimowska, Z., Wilimowski, M.: Bayesian model of the firm’s risk of bankruptcy diagnose. In: Information Systems Architecture and Technology: System Analysis in Decision Aided Problems, Oficyna Wydawnicza Politechniki Wrocławskiej, pp. 69–82 (2009)

    Google Scholar 

  8. Wilimowska, Z.: Models of the firm’s financial diagnose. In: Information Systems Applications and Technology ISAT 2003 Seminar. Proceedings of the 24th International Scientific School, Szklarska Poreba, 25–26 September 2003, Wroclaw (2003)

    Google Scholar 

  9. Wilimowska, Z., Wilimowski, M., Koszalka, J.: Integrated models of the firm’s financial diagnose. In: Information Systems Architecture and Technology: Advances in Web-Age Information Systems, PWr, pp. 303–314 (2009)

    Google Scholar 

  10. Wilimowska, Z., Tomczak, S., Wilimowski, M.: Selected methods of risk modelling in management process In: Wilimowska, Z., Borzemski, L., Grzech, A., Świątek, J. (eds.) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology, ISAT 2016. Pt. 4, cop. 2017. s. 3–19. Advances in Intelligent Systems and Computing, ISSN 2194-5357, vol. 524. Springer, Cham (2016)

    Google Scholar 

  11. Winakor, A., Smith, R.F.: Changes in financial structure of unsuccessful industrial companies. Bureau of Business Research, Bulletin No. 51 (1935)

    Google Scholar 

  12. Wyrobek, J.: Efficiency of gradient boosting decision trees technique in Polish companies’ bankruptcy prediction. In: Wilimowska, Z., Borzemski, L., Grzech, A., Świątek, J. (eds.) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology, ISAT 2017, Pt. 4, cop. 2018. Advances in Intelligent Systems and Computing. Springer, Cham (2018)

    Google Scholar 

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Correspondence to Zofia Wilimowska .

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Wilimowska, Z., Wilimowski, M., Kalashnikova, T.V. (2020). Branch and Bound Method in Feature Selection Process for Models of Financial Condition Evaluation. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-30443-0_2

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