Membership Trapezoid function Plot

How would I plot the membership Trapezoid function for the Last Hop based on the follwoing table please

 Accepted Answer

Ameri
Ameri on 12 Jan 2023
Thank you for your response, have you checked the table please.

2 Comments

Thank you so much dear Sam.
You are welcome, @Ameri. If the MATLAB code and explanation are helpful, would you accepting ✔ and voting 👍 my Answer? 😅

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More Answers (1)

The range for Last Hop is not given. So, you might try something like this:
fis = mamfis;
% Option #1: using rectified linear MFs
fis = addInput(fis, [-1 +1], 'Name', 'LH1');
fis = addMF(fis, 'LH1', 'linzmf', [-0.25 0.25], 'Name', 'Bad');
fis = addMF(fis, 'LH1', 'linsmf', [-0.25 0.25], 'Name', 'Good');
% Option #2: using trapezoidal MFs
fis = addInput(fis, [-1 +1], 'Name', 'LH2');
fis = addMF(fis, 'LH2', 'trapmf', [-2 -1 -0.25 0.25], 'Name', 'Bad');
fis = addMF(fis, 'LH2', 'trapmf', [-0.25 0.25 +1 +2], 'Name', 'Good');
% Plots
figure(1)
subplot(2,1,1)
plotmf(fis, 'input', 1), grid on, title('Last Hop using rectified linear MFs')
subplot(2,1,2)
plotmf(fis, 'input', 2), grid on, title('Last Hop using trapezoidal MFs')

2 Comments

Hi @Ameri,
Thanks for you reply. If the MATLAB code is helpful in plotting the membership functions (MFs), please consider accepting ✔ and voting 👍 the Answer. Thanks a bunch! 🙏
By the way, I have checked the table and it looks like the Fuzzy Rules because of the word "Decision".
Also, I used two MFs because there are "Yes" and "No", assuming that "Bo" was a typo. I should have used "Yes" and "No", instead of "Good" and "Bad".
Two types of MFs are demonstrated: one is a rectified linear function, and the other is a trapezoidal function which you described in your problem. Both give the same shapes within the defined range in the Universe of Discourse , though I preferred the first approach.
I made up this range . You should define it according to what you know about the Last Hop data. If it is some kind of questionaire with the scale , then 1 and 2 are No, 3 is Indecisive (half no/half yes), 4 and 5 are Yes.
fis = mamfis;
fis = addInput(fis, [1 5], 'Name', 'LH');
fis = addMF(fis, 'LH', 'linzmf', [2 4], 'Name', 'No'); % Z-shaped, [Hi_value, Lo_value]
fis = addMF(fis, 'LH', 'linsmf', [2 4], 'Name', 'Yes'); % S-shaped, [Lo_value, Hi_value]
plotmf(fis, 'input', 1), grid on, title('Last Hop')
Thank you.

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