• Title of article

    Weighted approximation of fuzzy numbers by using m − n−step type fuzzy number

  • Author/Authors

    Zhu ، Y. Institute of Operations Research and Cybernetics - Hangzhou Dianzi University , Wang ، G. X. Institute of Operations Research and Cybernetics - Hangzhou Dianzi University , Li ، C. J. Institute of Operations Research and Cybernetics, Information Engineering College - Hangzhou Dianzi University

  • From page
    147
  • To page
    158
  • Abstract
    In this paper, based on the weighted metric, the problem of approximating a general continuous fuzzy number u with derivable u(r) and u(r) (left and right cut functions of level value r) for r ∈ (0; 1] by using the m− n−step type fuzzy number is studied. Two kinds of approximations (I−nearest approximation and II−nearest approximation which satisfy different conditions) of using m−n−step type fuzzy numbers to approximate general continuous fuzzy numbers are defined, and the relationship between the I−nearest approximation and II−nearest approximation is obtained. Then the methods of the two kinds of approximations are respectively presented by the theorems more specifically. At last, an example is given to show the effectiveness and usability of the methods set up by us.
  • Keywords
    Fuzzy numbers , step type fuzzy numbers , membership function , approximation of fuzzy numbers
  • Journal title
    Iranian Journal of Fuzzy Systems (IJFS)
  • Journal title
    Iranian Journal of Fuzzy Systems (IJFS)
  • Record number

    2740688