In the forth chapter, the fuzzy time series model has been changed into the chance constrained programming.
第四章把模糊时间序列方程组转化成机会约束规划模型。
On the macroscopical aspect, data of latest months is transformed to obtain the long-term parameters of the stock through the fuzzy time series match method.
宏观上，把近数月的股票数据通过模糊时间序列匹配的方法转化为股票的长期参数；
The fuzzy time series forecasting differ from classic time series forecasting is lead in the conception, named membership function which contribute much to figure the method.
模糊时间序列法不同于经典时间预测之处在于其引入了隶属函数的概念，在序列的预测演算中起到重要作用。
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