Relational Type-2 Interval Fuzzy Systems

被引：0
|
作者：
Scherer, Rafal [1 ]
Starczewski, Janusz T. [1 ]
机构：
[1] Czestochowa Tech Univ, Dept Comp Engn, PL-42200 Czestochowa, Poland
来源：
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PT I | 2010年 / 6067卷
关键词：
LOGIC SYSTEMS;
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：
In this paper we combine type-2 fuzzy logic with a relational fuzzy system paradigm. Incorporating type-2 fuzzy sets brings new possibilities for performance improvement. The relational fuzzy system scheme reduces significantly the number of system parameters to be trained. Numerical simulations of the proposed combination of systems are presented.
引用
收藏
页码：360 / 368
页数：9
相关论文
共 50 条
  • [21] Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis
    Ontiveros, Emanuel
    Melin, Patricia
    Castillo, Oscar
    [J]. INFORMATION SCIENCES, 2020, 525 : 37 - 53
  • [22] Prediction Interval Construction Using Interval Type-2 Fuzzy Logic Systems
    Khosravi, Abbas
    Nahavandi, Saeid
    Creighton, Doug
    Naghavizadeh, Reihaneh
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [23] Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems
    Sanchez, Mauricio A.
    Castillo, Oscar
    Castro, Juan R.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (14) : 5904 - 5914
  • [24] Fuzzy decision making systems based on interval type-2 fuzzy sets
    Chen, Shyi-Ming
    Wang, Cheng-Yi
    [J]. INFORMATION SCIENCES, 2013, 242 : 1 - 21
  • [25] Evolutionary Hierarchical Fuzzy modeling of Interval Type-2 Beta Fuzzy Systems
    Jarraya, Yosra
    Bouaziz, Souhir
    Alimi, Adel M.
    Abraham, Ajith
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 3481 - 3486
  • [26] On Type-2 Fuzzy Sets and Type-2 Fuzzy Systems
    Shvedov A.S.
    [J]. Journal of Mathematical Sciences, 2021, 259 (3) : 376 - 384
  • [27] Building fuzzy inference systems with the interval type-2 fuzzy logic toolbox
    Castro, J. R.
    Castillo, O.
    Melin, P.
    Martinez, L. G.
    Escobar, S.
    Camacho, I.
    [J]. ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 53 - +
  • [28] An interval type-2 fuzzy perceptron
    Rhee, FCH
    Hwang, C
    [J]. PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1331 - 1335
  • [29] On type-2 fuzzy relations and interval-valued type-2 fuzzy sets
    Hu, Bao Qing
    Wang, Chun Yong
    [J]. FUZZY SETS AND SYSTEMS, 2014, 236 : 1 - 32
  • [30] A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
    Castillo, Oscar
    Amador-Angulo, Leticia
    Castro, Juan R.
    Garcia-Valdez, Mario
    [J]. INFORMATION SCIENCES, 2016, 354 : 257 - 274
12345