On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems

被引：1
|
作者：
Mendel, JM [1 ]
John, RI [1 ]
Liu, FL [1 ]
机构：
[1] Univ So Calif, Dept Elect Engn, Signal & Image Proc Inst, Los Angeles, CA 90089 USA
来源：
NAFIPS 2005 - 2005 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2005年
关键词：
D O I：
10.1109/NAFIPS.2005.1548592
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 demonstrate that it is unnecessary to take the route from general type-2 fuzzy set to interval type-2 fuzzy set, and that all of the results that are needed to implement an interval type-2 fuzzy logic system can be obtained using type-1 fuzzy set mathematics. As such, this paper makes an interval type-2 fuzzy logic system much more accessible to the fuzzy logic community, and we can now develop an interval type-2 fuzzy logic system in a much more straightforward way.
引用
收藏
页码：528 / 533
页数：6
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