Study on non-iterative algorithms for center-of-sets type-reduction of Takagi-Sugeno-Kang type general type-2 fuzzy logic systems

被引：1
|
作者：
Chen, Yang [1 ]
机构：
[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
来源：
COMPLEX & INTELLIGENT SYSTEMS | 2023年 / 9卷 / 04期
基金：
中国国家自然科学基金;
关键词：
General type-2 fuzzy logic systems; Computational efficiency; Center-of-sets type-reduction; Alpha-planes; Non-iterative algorithms; CENTROID TYPE-REDUCTION; EDGE-DETECTION METHOD; INTERVAL TYPE-2; UNCERTAINTY MEASURES; OPTIMIZATION; DESIGN; SPEED; ROBOT;
D O I：
10.1007/s40747-022-00927-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper performs the center-of-sets (COS) type-reduction (TR) and de-fuzzification for Takagi-Sugeno-Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the alpha-planes expression of general type-2 fuzzy sets. Actually, comparing the popular Karnik-Mendel (KM) algorithms with other non-iterative algorithms is an important question in T2 society. Here the modules of fuzzy inference, COS TR, and de-fuzzification for TSK type GT2 FLSs are discussed by means of non-iterative Nagar-Bardini (NB) algorithms, Nie-Tan (NT) algorithms, and Begian-Melek-Mendel (BMM) algorithms. Simulation instances are constructed to illustrate the performances of three types of non-iterative algorithms compared with the KM algorithms. It is proved that, the proposed non-iterative algorithms can enhance the computational efficiencies significantly, which afford the potential application value for designers of GT2 FLSs.
引用
收藏
页码：4015 / 4023
页数：9
相关论文
共 50 条
  • [31] Study on Centroid Type-Reduction of Interval Type-2 Fuzzy Logic Systems Based on Noniterative Algorithms
    Chen, Yang
    COMPLEXITY, 2019, 2019
  • [32] On type-reduction of type-2 fuzzy sets: A review
    Torshizi, Abolfazl Doostparast
    Zarandi, Mohammad Hossein Fazel
    Zakeri, Hamzeh
    APPLIED SOFT COMPUTING, 2015, 27 : 614 - 627
  • [33] Type-Reduction for Concave Type-2 Fuzzy Sets
    Xie, Bing-Kun
    Lee, Shie-Jue
    NEW TRENDS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 2015, 598 : 81 - 89
  • [34] Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods
    Mendez, Gerardo M.
    Hernandez, Angeles
    Cavazos, Alberto
    Mata-Jimenez, Marco-Tulio
    HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 1, 2010, 6076 : 429 - +
  • [35] Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted enhanced Karnik-Mendel algorithms
    Chen, Yang
    Wang, Dazhi
    SOFT COMPUTING, 2018, 22 (04) : 1361 - 1380
  • [36] STUDY ON IMPROVED ENHANCED KARNIK-MENDEL ALGORITHMS FOR CENTROID TYPE-REDUCTION OF GENERAL TYPE-2 FUZZY LOGIC SYSTEMS
    Chen, Yang
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2019, 15 (05): : 1673 - 1683
  • [37] Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems
    Chen, Yang
    COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (05) : 4385 - 4402
  • [38] Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems
    Yang Chen
    Complex & Intelligent Systems, 2022, 8 : 4385 - 4402
  • [39] A Novel Hammerstein Model for Nonlinear Networked Systems Based on an Interval Type-2 Fuzzy Takagi-Sugeno-Kang System
    Khalifa, Tarek R.
    El-Nagar, Ahmad M.
    El-Brawany, Mohamed A.
    El-Araby, Essam A. G.
    El-Bardini, Mohammad
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (02) : 275 - 285
  • [40] A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems
    Li, Chengdong
    Yi, Jianqiang
    Zhao, Dongbin
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2008, : 157 - 161
12345