Membership Trapezoid function Plot
Afficher commentaires plus anciens
How would I plot the membership Trapezoid function for the Last Hop based on the follwoing table please 

Réponse acceptée
Plus de réponses (1)
Hi @Ameri
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 commentaires
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')
Ameri
le 14 Jan 2023
Catégories
En savoir plus sur Fuzzy Logic Toolbox dans Centre d'aide et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!

