mf1 = U.^mi1(i); mf2 = U.^mi2(i); mf = U.^mt(i); mf(U(:, :) > lamda1) = mf1(U(:, :) > lamda1); mf(U(:, :) < lamda2) = mf2(U(:, :) < lamda2);
时间: 2024-06-01 12:11:38 浏览: 70
This code segment computes the membership values of a fuzzy set based on three membership functions: mf1, mf2, and mf.
The input variable U is a matrix of data points whose membership values are to be computed. The mi1, mi2, and mt are vectors of parameters that determine the shape and location of the three membership functions.
The first line of code computes the membership values of U using the mf1 function for those values of U that are greater than a threshold value lamda1. The second line computes the membership values using the mf2 function for those values of U that are less than a threshold value lamda2. Finally, the third line computes the membership values using the mf function for all other values of U.
The resulting membership values are stored in the mf matrix, which is then returned as the output of the function. The overall effect of this code is to create a hybrid membership function that combines the characteristics of mf1, mf2, and mf, and that varies smoothly between these three functions depending on the value of U.
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