Confidence intervals for output variable in fuzzy linear regression model

被引：0

作者：

Poleshchuk, O. M. ^{[1
]}

机构：

[1] Bauman Moscow State Tech Univ, Moscow, Russia

来源：

FUNDAMENTAL AND APPLIED PROBLEMS OF MECHANICS - 2017 | 2018年 / 468卷

关键词：

D O I：

10.1088/1757-899X/468/1/012004

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An analogue of confidence intervals with a given level of possibility for output variable in a fuzzy linear regression model has been developed in the paper. The methods of fuzzy regression analysis extend the methods of classical regression analysis and allow to solve different problems in conditions of fuzzy and incomplete initial information without the limits of the probabilities methods. The developed approach opens up new opportunities for predicting of output fuzzy variable.

引用

页数：6

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