Chapter3: The selection of effective lengths of intervals in fuzzy time series.
第三章、模糊时间数列最适区间的选取。
Chapter2: Traditional time series models and multivariate fuzzy time series models.
第二章、时间数列模型与多变量模糊时间数列模型。
The multivariable fuzzy time series Heuristic model is the easiest method to follow.
而在方法操作上，以多变量模糊时间数列引导式模式最为简易。
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。
A new kind of fuzzy time series model is presented by using a fuzzy system of linear equations with fuzzy coefficients and real variables.
利用模糊系数实变量的线性方程组建立了一种新的模糊随机时间序列模型。
The output time series of the possibilistic system, in which the datum are given with the form of fuzzy Numbers, is called fuzzy time series.
用模糊数形式表示的可能性系统的输出时间序列称作模糊时间序列。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
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。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
The application of fuzzy logic model in the prediction of financial time series is investigated.
文章研究了模糊逻辑模型在金融预测领域中的应用。
This paper USES the method of analysing fuzzy set and set up a model of time series multiple levels fuzzy synthetic judgement. And the factors affecting the missile price are explained at quantity.
本文利用模糊集分析的方法，量化了影响导弹价值的因素，建立了关于导弹定价的时序模糊综合评判模型。
This paper USES the method of analysing fuzzy set and set up a model of time series multiple levels fuzzy synthetic judgement. And the factors affecting the missile price are explained at quantity.
本文利用模糊集分析的方法，量化了影响导弹价值的因素，建立了关于导弹定价的时序模糊综合评判模型。
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