Volume : II, Issue : VIII, August - 2013
Computational Method Based on Distribution in Fuzzy Time Series Forecasting
Manikandan. M, Dr. Senthamarai Kannan. K, Deneshkumar. V
Abstract :
In the past decades many forecasting methods has been developed for fuzzy time series. Fuzzy time series is a dynamic method for forecasting with linguistic values. It has been widely used for forecasting the time series data. This study mainly focuses on forecasting the terrorist victims and to enhance the forecasting accuracy based on statistical distribution. The performance of forecasting accuracy is evaluated by Root Mean Square Prediction Error with other existing methods.
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DOI : 10.36106/ijsr
Cite This Article:
Manikandan. M, Dr. Senthamarai Kannan. K, Deneshkumar. V Computational Method Based onDistribution in Fuzzy Time Series Forecasting International Journal of Scientific Research, Vol : 2, Issue : 8 August 2013
Number of Downloads : 1120
Manikandan. M, Dr. Senthamarai Kannan. K, Deneshkumar. V Computational Method Based onDistribution in Fuzzy Time Series Forecasting International Journal of Scientific Research, Vol : 2, Issue : 8 August 2013
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