What Is Fuzzy Logic?

2 Tutorial
Specifying Custom Membership Functions
You can create custom membership functions, and use them in the fuzzy
inference process. The values of these functions must lie between 0 and
1. You must save the custom membership functions as M-files in your
current working directory. To learn how to build fuzzy systems using custom
membership functions, see “How to Build Fuzzy Inference Systems Using
Custom Functions in the GUI” on page 2-58.
To create a custom membership function, and replace the built-in membership
function:
1 Create a MATLAB function, and save it as an M-file in your current
working directory.
To learn how to create MATLAB functions, see the “Functions and Scripts”
section in the MATLAB documentation.
The following code is an example of a multi-step custom membership
function, custmf1, that depends on eight parameters between 0 and 10.
% Function to generate a multi-step custom membership function
% using 8 parameters for the input argument x
function out = custmf1(x, params)
for i=1:length(x)
if x(i)