Uniformly fuzzy model of linear regression

被引：0

作者：

I. V. Ponomarev

V. V. Slavsky

机构：

[1] Altai State Pedagogic Academy, Barnaul 656031, 55, ul. Molodezhnaya

来源：

Journal of Mathematical Sciences | 2012年 / 186卷 / 3期

基金：

俄罗斯基础研究基金会;

关键词：

Membership Function; Convex Hull; Fuzzy Number; Fuzzy Model; Fuzzy Regression;

D O I：

10.1007/s10958-012-1002-1

中图分类号：

学科分类号：

摘要：

We study fuzzy and standard models of simple linear regression. We give a geometric interpretation of a fuzzy model and compare with the standard linear regression model. We also study the computational complexity of the linear regression fuzzy model, indicate effective algorithms of complexity of orders O(n log n), O(n 2), and describe their realization by MatLab. Bibliography: 10 titles. Illustration: 7 figures. © 2012 Springer Science+Business Media New York.

引用

页码：478 / 494

页数：16

共 10 条

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