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Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 450))

Abstract

The development strategy of a complex enterprise depends on the financial performance evaluation. The latter can be made by time series analysis and forecasting of financial indicators. The paper is focused on a web-based system, which integrates fuzzy time series forecasting techniques with a web service to support enterprise managers in making plan for next period. In the paper the web service with three main components proposed: time series forecasting system using F-transform and fuzzy tendency forecasting techniques, system for linguistic description of predicted fuzzy tendency of each financial indicators and expert system for deriving the linguistic summarization of enterprise financial state and recommendation for planning for next period. As the proposed web service was successfully examined by ten Russian enterprises the example of financial performance evaluation was showed.

The authors acknowledge that this paper was partially supported by the project no. 2014/232 of the Ministry of Education and Science of Russian Federation “Development of New Approach to the Intellectual Analysis of Information Resources” and by the project no. 16-07-00535 “Development and research of data mining algorithms for organizational and technical systems based on fuzzy models” of the Russian Foundation of Basic Research.

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References

  1. Box, G., Jenkins, G.: Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco (1970)

    MATH  Google Scholar 

  2. Wold, H.: A Study in the Analysis of Stationary Time Series. Almqvist and Wiksel, Stockholm (1938)

    MATH  Google Scholar 

  3. Hwang, J.R., Chen, S.M., Lee, C.H.: Handling forecasting problems using fuzzy time series. Fuzzy Sets Syst. 100, 217–228 (1998)

    Article  Google Scholar 

  4. Song, Q., Chissom, B.: Fuzzy time series and its models. Fuzzy Sets Syst. 54, 269–277 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  5. Song, Q., Chissom, B.: Forecasting enrollments with fuzzy time series. Part I. Fuzzy Sets Syst. 54, 1–9 (1993)

    Article  MathSciNet  Google Scholar 

  6. Novak, V., Stepnicka, M., Dvorak, A., Perfilieva, I., Pavliska, V.: Analysis of seasonal time series using fuzzy approach. Int. J. Gen Syst. 39, 305–328 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  7. Perflieva, I.: Fuzzy transforms: theory and applications. Fuzzy Sets Syst. 157, 993–1023 (2006)

    Article  MathSciNet  Google Scholar 

  8. Perfilieva, I.: Fuzzy transforms: a challenge to conventional transforms. In: Hawkes, P.W. (ed.) Advances in Images and Electron Physics, 147, pp. 137–196. Elsevier Academic Press, San Diego (2006)

    Google Scholar 

  9. Perfilieva, I., Danková, M., Bede, B.: Towards a higher degree F-transform. Fuzzy Sets Syst. 180, 3–19 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  10. Sarkar, M.: Ruggedness measures of medical time series using fuzzy-rough sets and fractals. Pattern Recogn. Lett. Arch. 27, 447–454 (2006)

    Article  Google Scholar 

  11. Yao, J., Herbert, J.P.: Financial time-series analysis with rough sets. Appl. Soft Comput. 9, 1000–1007 (2009)

    Article  Google Scholar 

  12. Perfilieva, I., Yarushkina, N., Afanasieva, T., Romanov, A.: Time series analysis using soft computing methods. Int. J. Gen. Syst. 42(6), 687–705 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  13. Afanasieva, T., Yarushkina, N., et al.: Time series forecasting using fuzzy techniques. In: Proceedings of International Joint Conferece IFSA-EUSFLAT, pp. 1068–1075 (2015)

    Google Scholar 

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Authors and Affiliations

  1. Division OU, Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 70103, Ostrava, Czech Republic

    I. G. Perfilieva

  2. Information Systems Department, Ulyanovsk State Technical University, Severny Venec, 32, 432027, Ulyanovsk, Russia

    N. G. Yarushkina, T. V. Afanasieva & A. A. Romanov

Authors
  1. I. G. Perfilieva
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  2. N. G. Yarushkina
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  3. T. V. Afanasieva
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  4. A. A. Romanov
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Corresponding author

Correspondence to N. G. Yarushkina .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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Perfilieva, I.G., Yarushkina, N.G., Afanasieva, T.V., Romanov, A.A. (2016). Web-Based System for Enterprise Performance Analysis on the Basis of Time Series Data Mining. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-33609-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

  • eBook Packages: EngineeringEngineering (R0)

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