Study on Non-iterative Algorithms for Center-of-Sets Type-Reduction of Interval Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems

被引：0

作者：

Zhou, Junge ^{[1
]}

Chen, Yang ^{[1
]}

机构：

[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China

来源：

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2024年

基金：

中国国家自然科学基金;

关键词：

Interval type-2 fuzzy logic systems; Center-of-sets type-reduction; KM algorithms; Non-iterative algorithms; Computational efficiency; CENTROID TYPE-REDUCTION; COMPUTATIONAL COST; NEURAL-NETWORKS; OPTIMIZATION; INTEGRATION; SPEED;

D O I：

10.1007/s40815-024-01873-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the application of interval type-2 (IT2) Takagi-Sugeno-Kang (TSK) fuzzy logic systems (FLSs), the center-of-sets (COS) type-reduction (TR) is more advantageous than the centroid TR. This paper proposes three types of discrete non-iterative algorithms to solve the problem of COS TR in IT2 TSK FLSs. Multiple simulation experiments are carried out for the IT2 TSK FLSs with different fuzzy rule numbers. Experimental results show that the computational efficiencies of the three discrete non-iterative algorithms are better than that of Karnik-Mendel (KM) algorithms, which provides latent value for the application of type-2 FLSs.

引用

页码：2675 / 2687

页数：13

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