With the established fuzzy regression model, the future load value can be forecasted based on the fuzzy historical observation data.
该方法通过建立具有模糊回归参数的回归模型，可以直接由模糊观测数据预测出未来负荷值。
In this paper, a fuzzy regression model was applied in the indexes of wheat flour to obtain the fuzzy relationship among the indexes.
通过把模糊回归模型应用到小麦面粉指标中，得出关于小麦面粉指标间的模糊关系。
By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
将模糊集理论引入多元线性回归中，通过模糊控制变量，可以得出更符合实际，也更容易为人所理解的回归模型。
Based on robust statistics, robust approaches are represented for these fuzzy regression models, and are illustrated with several examples in order to show the robustness of the suggested approaches.
就这两类回归模型，从稳健统计的角度提出相应的稳健方法，并通过例子与现有的方法进行比较，说明所提方法的稳健性。
Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.
由发动机性能的设计技术参数，运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型，并对其经济性指标进行预测和分析。
This paper discusses the fuzzy multi-variable regression analysis classification method, a new method of classification in cartography.
本文探讨了地图制图中一种新的分类方法——模糊多元回归分析分类法。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
The predictive models of fuzzy graph, nonlinear regression and with grey theory are set up from different aspects by analyzing the features of road traffic accidents.
通过分析道路交通事故发生的特点，从不同的角度，建立了模糊图模型、非线性回归模型及基于灰色理论的灰色预测模型。
Discuss the means of deducing bidding models by linear regression and curve fit method, and further more, acquire rivals' bidding competitive ratio with fuzzy forecasting technique.
研究运用线性回归及曲线拟合手段推导投标报价模型的方法，并进一步运用模糊预测技术研究获取对手的竞标能力值。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
Two classes of fuzzy linear regression models are considered, one involves real design points and fuzzy number parameters, the other consists of fuzzy number observations and real parameters.
考虑两类模糊回归模型：一类是设计点为实数、参数为模糊数；另一类是观察值为模糊数、参数为实数。
These methods include the Principle component analysis, the Regression analysis, the Grey cognate analysis, the Delphi, the Ordering method, the Analytical Hierarchy Process, Fuzzy method.
目前学术界对土地等级评价所使用的主要方法有：主成分分析法、回归分析法、灰色关联度分析法、特尔斐法、排序法、层次分析法、模糊综合评价法。
As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.
作为主要估计方法之一的模糊最小二乘估计以其与统计最小二乘估计的密切联系更受到人们的重视。
As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.
作为主要估计方法之一的模糊最小二乘估计以其与统计最小二乘估计的密切联系更受到人们的重视。
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