Inaccuracy Minimization by Partioning Fuzzy Data Sets - Validation of
  Analystical Methodology
  In the last two decades, a number of methods have been proposed for
forecasting based on fuzzy time series. Most of the fuzzy time series methods
are presented for forecasting of car road accidents. However, the forecasting
accuracy rates of the existing methods are not good enough. In this paper, we
compared our proposed new method of fuzzy time series forecasting with existing
methods. Our method is based on means based partitioning of the historical data
of car road accidents. The proposed method belongs to the kth order and
time-variant methods. The proposed method can get the best forecasting accuracy
rate for forecasting the car road accidents than the existing methods.
