Inverse fuzzy time series algorithms forecast a data point as a function of itself and previous observations. They cancel impact of previous observations by a predefined small parameter and return observed value of the data point as its predicted value. The present study shows that these algorithms, which are devised to predict fuzzy time series, cannot be used as forecasting tools in practice.

中文翻译：

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关于逆模糊时间序列算法的重要说明

逆模糊时间序列算法将数据点预测为自身和先前观察的函数。它们通过预定义的小参数消除先前观察的影响，并将数据点的观察值作为其预测值返回。目前的研究表明，这些设计用于预测模糊时间序列的算法在实践中不能用作预测工具。