Interval Type-2 Fuzzy Logic System Based on Semi-Tensor Product

被引：0
|
作者：
Chang, Zhen [1 ]
Ge, Aidong [1 ,2 ]
Sun, Mingcan [1 ]
机构：
[1] Qilu Univ Technol, Sch Informat & Automat Engn, Shandong Acad Sci, Jinan 250353, Peoples R China
[2] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
基金：
中国国家自然科学基金;
关键词：
Interval Type-2 Fuzzy Sets; Interval Type-2 Fuzzy Logic Systems; Semi-tensor Product; Interval Matrix; AVERAGE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Compared with type-1 fuzzy sets, interval type-2 fuzzy sets have stronger ability to deal with uncertainty. In this paper, the semi-tensor product approach is used to study interval type-2 fuzzy logic systems (IT2 FLSs). Firstly, the semi-tensor product of matrix is extended to interval matrix. Secondly, using the semi-tensor product algorithm, IT2 FLS is improved, and a new IT2 FLS is designed. Finally, its effectiveness is tested by simulation. The simulation results demonstrate that the designed IT2 FLS has a similar control effect to the conventional IT2 FLS, and can effectively simplify the fuzzy reasoning process of the multi-input multi-output systems.
引用
收藏
页码：2507 / 2512
页数：6
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