• DocumentCode
    293472
  • Title

    Fuzzy inequality relation system identification via sign matrix method

  • Author

    Han, S.R. ; Song, A.H. ; Sekiguchi, T.

  • Author_Institution
    Dept. of Electr. Eng., Toji Univ., Shanghai, China
  • Volume
    3
  • fYear
    1995
  • fDate
    20-24 Mar 1995
  • Firstpage
    1375
  • Abstract
    This paper intends to propose a new method of solving fuzzy relation inequality system identification which is expressed as B_⩽RoA⩽B¯. A is the input vector of the system; B¯, B_ is the upper bound and lower bound of the output vector of the system. R is an unknown fuzzy number matrix which represents the considered system. This is an extension and reverse problem of solving fuzzy relation equation RoA=B, and it has a very promising application scope in fuzzy system theory. In the proposed method, a so called sign matrix will be introduced and plays the main role. The element of the sign matrix is one of three kinds of signs `<´, `=´ and `>´. Some related properties about this topic will be discussed. We will also extend the sign matrix method to the problem of fuzzy relation system with interval valued input and output
  • Keywords
    fuzzy set theory; identification; matrix algebra; fuzzy inequality relation system identification; fuzzy number matrix; fuzzy relation equation; fuzzy system theory; sign matrix method; Electric breakdown; Equations; Fuzzy control; Fuzzy set theory; Fuzzy systems; Inverse problems; Linear matrix inequalities; Medical diagnosis; System identification; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-2461-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1995.409860
  • Filename
    409860