• DocumentCode
    3402141
  • Title

    Conditions for Equivalence of Hierarchical Fuzzy Systems and Zero-Order TS Fuzzy Systems

  • Author

    Du, Xinyu ; Ying, Hao ; Zhang, Naiyao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI
  • fYear
    2005
  • fDate
    25-25 May 2005
  • Firstpage
    939
  • Lastpage
    944
  • Abstract
    For conventional fuzzy systems, Mamdani type or TS type, it is; well known that the number of fuzzy rules and adjustable parameters exponentially increases with the number of input variables. This problem is often referred as curse of dimensionality. Hierarchical fuzzy systems have been proposed to resolve this problem. At present, however, it is unclear whether or not hierarchical fuzzy systems can truly resolve this issue. In this paper, we investigate the zero-order TS fuzzy systems and their corresponding hierarchical fuzzy systems. We rigorously prove that to approximate any continuous functions with the same degree of accuracy, the number of parameters used by the hierarchical fuzzy systems are exactly the same as those employed by the TS systems. This result implies that the hierarchical fuzzy systems do not offer a real solution, at least for the zero-order TS fuzzy systems
  • Keywords
    equivalence classes; fuzzy set theory; fuzzy systems; hierarchical systems; multivariable control systems; Mamdani fuzzy systems; Takagi-Sugeno fuzzy systems; adjustable parameters; equivalence conditions; fuzzy rules; hierarchical fuzzy systems; zero-order TS fuzzy systems; Automation; Fuzzy systems; Input variables; Sensitivity analysis; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
  • Conference_Location
    Reno, NV
  • Print_ISBN
    0-7803-9159-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.2005.1452520
  • Filename
    1452520