第四章把模糊时间序列方程组转化成机会约束规划模型。
In the forth chapter, the fuzzy time series model has been changed into the chance constrained programming.
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。
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.
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。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
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；
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.
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 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.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
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。
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.
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。
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.
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。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
建立多粒度时间序列的数学模型，并对提取模糊规则中所涉及的一些基本概念作出定义。
After the mathematical model of multiple granularity time series is established, some notations related to the rule discovering are defined.
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。
A new kind of fuzzy time series model is presented by using a fuzzy system of linear equations with fuzzy coefficients and real variables.
基于短时交通量时间序列的随机波动特征，提出一种小波分析和模糊马尔柯夫结合的预测方法。
Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.
讨论了滤波器中时间序列的短时分形盒维数的定义及分形模糊控制函数形式及选用方式。
The definition of short-time fractal box dimension and the fuzzy control function of the filter are discussed.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
另外，本文用模糊集理论对时间序列数据挖掘过程中的不确定性进行了处理，提出了一种模糊时序数据挖掘的框架。
Moreover, fuzzy sets theory is adopted in the dissertation to deal with the uncertainty of the mining process and a new fuzzy frame of TSDM is given then.
实例结果表明时间序列经模糊滑动平均处理后，随机波动对神经网络预测精度的影响可大大减小。
A fuzzy preprocessing method. that is. fuzzy sliding averaging. is Proposed to decrease the influence of random, an example shows the improvement of the forecasting neural network.
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，并运用于采空区遗煤自然发火的预测中。
The fuzzy technology and fractal theory are combined with neural network and applied to predict coal spontaneous combustion in coal mine.
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，并运用于采空区遗煤自然发火的预测中。
The fuzzy technology and fractal theory are combined with neural network and applied to predict coal spontaneous combustion in coal mine.
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