摘要
由于统计分析中线性回归分析方法的可靠性不高,人们提出模糊线性回归方法,但是这种方法有随着自变量的增大回归函数将越来越模糊的缺陷。利用模糊结构元的方法揭示了这一缺陷,并采用模糊函数拟合数据点的方法克服了这一缺陷,这里的模糊函数采用模糊结构元的表示方法。理论证明这是一种有效的模糊回归分析方法,并通过实例加以应用,取得了很好的效果。
Owing to the fact that the reliability of line regression analysis method of statistical analysis is not high, the fuzzy linear regression method is put forward, but there is a default in the classical fuzzy linear progression analysis, that is, its value will become more and more fuzzy with the extension of the independent variables. This paper reveals the default based on the fuzzy structured element, and overcomes this default through using the fuzzy function to fit the data, here we have fuzzy structured element describe the fuzzy function. Theory proves that it is a kind of effective fuzzy regression analysis method, and gains good effect by example.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2004年第3期418-420,共3页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(50174027)
关键词
线性回归
模糊结构元
模糊函数
拟合
fuzzy linear regression analysis
fuzzy structured element
fuzzy function
fit
