On the robustness of fuzzy inference mechanism

被引：0
|
作者：
Emami, MR [1 ]
Melek, WW [1 ]
Goldenberg, AA [1 ]
机构：
[1] Univ Toronto, Dept Mech & Ind Engn, Robot & Automat Lab, Toronto, ON, Canada
来源：
18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年
关键词：
D O I：
10.1109/NAFIPS.1999.781729
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The robustness performance of the fuzzy inference mechanism is investigated in terms of maximum deviation of the fuzzy and crisp output as a result of deviation in the input membership grades. A parameterized formulation of fuzzy reasoning helps us adjust the robustness by varying the inference parameters. This feature will improve the generalization capability of the fuzzy-logic models as illustrated in an example.
引用
收藏
页码：431 / 435
页数：5
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