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.
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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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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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