A Comparative Study of Different Fuzzy Time Series Forecasting Techniques – Case Study: Marine Fish Production Forecasting
نویسنده
چکیده
Various forecasting methods have been developed on the basis of fuzzy time series data, but accuracy has been matter of concern in these forecasts. The historical data of marine fish production of India have been taken to implement the model; as such time series data obtained through sample survey are likely to be imprecise. The study uses the fuzzy sets theory of Zadeh [1] and fuzzy time series models introduced by Song and Chissom [2], Chen [3], Chen and Hsu [4] and Singh [5]. The study is aimed to find the marine fish production forecast for a lead year by using different fuzzy time series models. The forecasted marine fish production, obtained through these techniques, have been compared and their performance has been examined and it has been found that forecast obtained by Chen and Hsu[4] is more efficient and provides better forecast in comparison to Singh[5],Chen [3] and Song and Chissom [3] method.
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