| 一类加权最小二乘模糊线性回归 |
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| 引用本文： | 梁艳,张文林.一类加权最小二乘模糊线性回归[J].宁夏师范学院学报,2012,33(3):19-23,31. |
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| 作者姓名： | 梁艳 张文林 |
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| 作者单位： | 南航金城学院,江苏南京,211156 |
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| 摘 要： | 讨论了输入、输出及回归系数都是LR-型模糊数的模糊线性回归模型参数估计的加权最小二乘法.该方法根据决策者对训练数据的置信度对观测数据设置不同的权重,从而得到能有效抵御异常值干扰的预测模型.
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| 关 键 词： | 模糊线性回归 LR-型模糊数 加权最小二乘估计 异常值 |
A Weighted Least-squares Fuzzy Linear Regression |
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| LIANG Yan,ZHANG Wenlin.A Weighted Least-squares Fuzzy Linear Regression[J].Journal of Ningxia Teachers College,2012,33(3):19-23,31. |
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| Authors: | LIANG Yan ZHANG Wenlin |
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| Institution: | (Nanhang Jincheng College,Nanjing,Jiangsu 211156) |
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| Abstract: | This paper has discussed the weighted least-squares method to estimate the fuzzy linear regression model,whose input,output and regression coefficient is LR-type fuzzy number.This method will obtain prediciton mode that can resist interference of abnormal values effectively as a result of decision makers giving different weights to the observation data based on training data’s confidence. |
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| Keywords: | Fuzzy linear regression LR- type fuzzy number Weighted least-squares Outliers |
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