• DocumentCode
    1750601
  • Title

    Environmental valuation by using fuzzy-neural system realizing the method II of fuzzy quantification

  • Author

    Okuhara, K. ; Fujita, H. ; Tanaka, T.

  • Author_Institution
    Dept. of Manage. & Inf. Sci., Hiroshima Prefecture Univ., Japan
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    2792
  • Abstract
    This paper propose a system for evaluating environments using the method II of fuzzy quantification. We first give outlines of the method II of fuzzy quantification. It is known, however, that a usual canonical correlation analysis including the method II of fuzzy quantification can not be applied when Cholesky decomposition can not be calculated. In order to correspond to such a case, we derive a fuzzy neural network which can execute the method II of fuzzy quantification, and incorporate the fuzzy neural network into the proposed system
  • Keywords
    ecology; fuzzy neural nets; learning (artificial intelligence); public administration; canonical correlation; fuzzy neural network; fuzzy quantification; learning; membership functions; Analysis of variance; Cost accounting; Environmental management; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Gaussian distribution; Information management; Neural networks; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943668
  • Filename
    943668