Interval type-2 fuzzy logic systems

被引：0
|
作者：
Liang, QL [1 ]
Mendel, JM [1 ]
机构：
[1] Univ So Calif, Dept Elect Engn Syst, Signal & Image Proc Lab, Los Angeles, CA 90089 USA
来源：
NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2 | 2000年
关键词：
interval type-2 fuzzy sets; type-2 fuzzy logic systems; nonsingleton fuzzy logic systems; upper and lower membership functions; time-series forecasting;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose an efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs using the concept of upper and lower membership functions (MFs). We also propose a method for designing an interval type-2 FLS in which we tune its parameters. Finally, we design type-2 FLSs to perform time-series forecasting, when a non-stationary time-series is corrupted by additive noise where SNR is uncertain, and demonstrate improved performance over type-1 FLSs.
引用
收藏
页码：328 / 333
页数：6
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