Abstract
This study focuses on application of chaotic approach in forecasting highland’s temperature time series. Chaotic approach begins by detecting the chaotic behaviour of the temperature time series using phase space plot and Cao method. Then, the local mean approximation method will be used for forecasting purposes. The temperature time series observed at Cameron Highlands is detected as chaotic in behaviour. Due to the chaotic behaviour, the forecasting is done through the local mean approximation method, a chaotic based method. The forecasting result shown that correlation coefficient value between the observed and forecasted time series is 0.9395. Correlation coefficient approaching to one shown that the forecasted result is excellent. This indicates that in particular, the local mean approximation method can be used to forecast the temperature time series in highland area. In general, chaotic approach is a useful approach that can be used to analyse and forecast the temperature time series.
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