刊名:Soft Computing - A Fusion of Foundations, Methodologies and Applications
出版年:2015
出版时间:April 2015
年:2015
卷:19
期:4
页码:883-890
全文大小:871 KB
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刊物类别:Engineering
刊物主题:Numerical and Computational Methods in Engineering Theory of Computation Computing Methodologies Mathematical Logic and Foundations Control Engineering
出版者:Springer Berlin / Heidelberg
ISSN:1433-7479
文摘
In this paper, we estimate the parameters of fuzzy regression models and investigate a statistical inferences with crisp inputs and fuzzy outputs for each \(\alpha \) -cut. The proposed approaches of statistical inferences are fuzzy least squares (FLS) method and bootstrap technique. FLS is constructed on the basis of minimizing the sum of square of the total difference between observed and estimated outputs. Numerical examples are illustrated to perform the hypotheses test and to provide the percentile confidence regions by proposed approach.