期刊
SOFT COMPUTING
卷 24, 期 15, 页码 11819-11828出版社
SPRINGER
DOI: 10.1007/s00500-020-04998-2
关键词
Interval type-2 fuzzy logic systems; Type-reduction; Nagar-Bardini algorithms; Nie-Tan algorithms; Begian-Melek-Mendel algorithms; Sampling points
资金
- National Natural Science Foundation of China [61973146, 61773188, 61803189]
- Liaoning Province Natural Science Foundation Guidance Project [20180550056]
As an emerging technology, interval type-2 fuzzy logic systems (IT2 FLSs) have drawn great attentions in the past decade years. However, the computational intensive and time consuming type-reduction (TR) block may hinder the real applications IT2 FLSs. Unlike the most popular Karnik-Mendel (KM) iterative algorithms, the noniterative algorithms decrease the computational cost greatly. The comparison between the discrete and continuous algorithms is still an open problem. This paper compares the sum operations in discrete noniterative algorithms and the integral operations in continuous noniterative algorithms, and discovers the inner relations between the discrete and continuous noniterative algorithms. Then, three types of noniterative algorithms are adopted for performing the centroid TR of IT2 FLSs. Three computer simulations show the calculation results of sampling based discrete noniterative algorithms can accurately approximate the corresponding continuous noniterative algorithms as varying the number of sampling of primary variable appropriately, in addition, the computational efficiencies of former are much higher than the latter, which provide the potential value for designing IT2 FLSs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据