Based on the improvement in establishing the relations of data, this study proposes a new fuzzy time series model. In this model, the suitable number of fuzzy sets and their specific elements are determined automatically. In addition, using the percentage variations of series between consecutive periods of time, we build the fuzzy function. Incorporating all these improvements, we have a new fuzzy time series model that is better than many existing ones through the well-known data sets. The calculation of the proposed model can be performed conveniently and efficiently by a MATLAB procedure . The proposed model is also used in forecasting for an urgent problem in Vietnam. This application also shows the advantages of the proposed model and illustrates its effectiveness in practical application.

在建立数据关系的基础上，本文提出了一种新的模糊时间序列模型。在该模型中，将自动确定合适数量的模糊集及其特定元素。另外，利用连续时间段之间序列的百分比变化，我们建立了模糊函数。结合所有这些改进，我们有了一个新的模糊时间序列模型，该模型比通过已知数据集的许多现有时间序列模型要好。利用MATLAB程序可以方便高效地进行所提出模型的计算。所提出的模型还用于预测越南的紧急问题。此应用程序还显示了所提出模型的优势，并说明了其在实际应用中的有效性。