基于粗集理论的线性回归方法及实证分析
首发时间:2007-09-19
摘要:本文通过分析在实际问题中经济变量间往往出现多重共线性的现象,将粗集理论的约简思想引入线性回归分析,提出了基于粗集理论的线性回归模型来解决多重共线性问题,并通过实证分析来验证模型的可行性,这为人们进行科学的预测和决策提供了一种新的思想和方法。
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new Linearity Regression Methodology based on Rough Sets Theory and its Empirical Study
Abstract:According to analyze the phenomena of multi-collinearity in practical economic problem , we put the thought of attribute-reducing with rough sets theory into the linearity regression, and built a new model to solve the problems of multi-collinearity, then do the empirical study to validate the feasibility of this model, which give a new methodology and thought in scientific forecast and decision-making.
Keywords: Linearity regression Rough sets Theory Multi-Collinearity Attribute-reducing
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