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Length of intervals aaects forecasting results in fuzzy time series. Unfortunately, the issue of how to determine eeective lengths of intervals has not been touched in previous studies. This study proposes distribution-and average-based length to approach this issue. Distribution-based length is the largest length smaller than at least half the ÿrst(More)
The objective of this study is to explore ways of determining the useful lengths of intervals in fuzzy time series. It is suggested that ratios, instead of equal lengths of intervals, can more properly represent the intervals among observations. Ratio-based lengths of intervals are, therefore, proposed to improve fuzzy time series forecasting. Algebraic(More)
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