Membership Trapezoid function Plot

1 view (last 30 days)
Ameri
Ameri on 2 Jan 2023
Commented: Ameri on 14 Jan 2023
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
Ameri
Ameri on 13 Jan 2023
Thank you so much dear Sam.
Sam Chak
Sam Chak on 13 Jan 2023
You are welcome, @Ameri. If the MATLAB code and explanation are helpful, would you accepting ✔ and voting 👍 my Answer? 😅

Sign in to comment.

More Answers (1)

Sam Chak
Sam Chak on 5 Jan 2023
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
Sam Chak
Sam Chak on 13 Jan 2023
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')

Sign in to comment.

Categories

Find more on Fuzzy Inference System Modeling in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!