Abstract
Environmental pollution, which is complicated for forecasting, is a phenomenon related to the environmental parameters. There are many studies about the calculations of concentration variation on pollution time series. A new framework of prediction methodology using the concept of fuzzy time series with fractal analysis (FTFA) was introduced. The FTFA uses the concept of turbulence structure with the fractal dimension analysis to estimate the relationship by fuzzy time series. The candidate indexes of each pattern can be selected from the most important factors by fractal dimension analysis with autocorrelation and cross correlation. Based on the given approach, the relationship between the environmental parameters and the pollution concentration can be evaluated. The proposed methodology can also serve as a basis for the future development of environmental time series prediction. For this reason, the management of environmental quality can be upgraded because of the improvement of pollution forecasting.
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Chen, WK., Wang, P. (2013). Fuzzy Forecasting with Fractal Analysis for the Time Series of Environmental Pollution. In: Pedrycz, W., Chen, SM. (eds) Time Series Analysis, Modeling and Applications. Intelligent Systems Reference Library, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33439-9_9
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DOI: https://doi.org/10.1007/978-3-642-33439-9_9
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