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
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)