Polynomial regression interval-valued fuzzy systems

被引：0
|
作者：
Yu Qiu
Hong Yang
Yan-Qing Zhang
Yichuan Zhao
机构：
[1] Georgia State University,Department of Computer Science
[2] Georgia State University,Department of Mathematics and Statistics
来源：
Soft Computing | 2008年 / 12卷
关键词：
Interval-valued fuzzy logic; Type-2 fuzzy logic; Statistical interval-valued fuzzy reasoning; Fuzzy control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In recent years, the type-2 fuzzy sets theory has been used to model and minimize the effects of uncertainties in rule-base fuzzy logic system (FLS). In order to make the type-2 FLS reasonable and reliable, a new simple and novel statistical method to decide interval-valued fuzzy membership functions and probability type reduce reasoning method for the interval-valued FLS are developed. We have implemented the proposed non-linear (polynomial regression) statistical interval-valued type-2 FLS to perform smart washing machine control. The results show that our quadratic statistical method is more robust to design a reliable type-2 FLS and also can be extend to polynomial model.
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页码：137 / 145
页数：8
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