Examining the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems

被引:0
|
作者
Wu, Dongrui [1 ]
Mendel, Jerry M. [2 ]
机构
[1] Univ Southern Calif, Inst Creat Technol, Los Angeles, CA 90089 USA
[2] Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
关键词
CONTROLLERS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the continuity of the input-output mappings of fuzzy logic systems (FLSs), including both type-1 (T1) and interval type-2 (IT2) FLSs. We show that a T1 FLS being an universal approximator is equivalent to saying that a T1 FLS has a continuous input-output mapping. We also derive the condition under which a T1 FLS is discontinuous. For IT2 FLSs using Karnik-Mendel type-reduction and center-of-sets defuzzification, we derive the conditions under which continuous and discontinuous input-output mappings can be obtained. Our results will be very useful in selecting the parameters of the membership functions to achieve a desired continuity (e.g., for most traditional modeling and control applications) or discontinuity (e.g., for hybrid and switched systems modeling and control).
引用
收藏
页数:8
相关论文
共 50 条
  • [1] On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems
    Wu, Dongrui
    Mendel, Jerry M.
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (01) : 179 - 192
  • [2] On Transitioning From Type-1 to Interval Type-2 Fuzzy Logic Systems
    Aladi, Jabran Hussain
    Wagner, Christian
    Garibaldi, Jonathan M.
    Pourabdollah, Amir
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [3] On the robustness of Type-1 and Interval Type-2 fuzzy logic systems in modeling
    Biglarbegian, Mohammad
    Melek, William
    Mendel, Jerry
    [J]. INFORMATION SCIENCES, 2011, 181 (07) : 1325 - 1347
  • [4] 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
  • [5] Type-1 and Interval Type-2 Fuzzy Systems
    Wu, Dongrui
    Peng, Ruimin
    Mendel, Jerry M. M.
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2023, 18 (01) : 81 - 83
  • [6] On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems
    Mendel, JM
    John, RI
    Liu, FL
    [J]. NAFIPS 2005 - 2005 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, 2005, : 528 - 533
  • [7] Geometric type-1 and type-2 fuzzy logic systems
    Coupland, Simon
    John, Robert I.
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (01) : 3 - 15
  • [8] Contrasting Singleton Type-1 and Interval Type-2 Non-singleton Type-1 Fuzzy Logic Systems
    Aladi, Jabran Hussain
    Wagner, Christian
    Pourabdollah, Arnir
    Garibaldi, Jonathan M.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 2043 - 2050
  • [9] A Quantitative Comparison of Interval Type-2 and Type-1 Fuzzy Logic Systems: First Results
    Mendel, Jerry M.
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [10] JuzzyPy - A Python']Python Library to Create Type-1, Interval Type-2 and General Type-2 Fuzzy Logic Systems
    Ahmad, Mohammad Sameer
    Wagner, Christian
    [J]. 2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 735 - 742