by changing input of fuzzy system the output does not change

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arash rad on 25 Jun 2023

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Answered: Sam Chak on 25 Jun 2023

Hello every one

I wrote a code in matlab to simulate a fuzzy design but when i use evalfis to see outputs by changing the inputs of fuzzy system outout does not change what should i do

here is my code :

clc ; clear all ;close all ;warning off
% Create a new fuzzy inference system
fis = newfis('TrafficLightController');
% Add inputs
fis = addvar(fis, 'input', 'ZaMir', [0 4]);
fis = addvar(fis, 'input', 'ZaMir_V2x', [0 4]);
fis = addvar(fis, 'input', 'MirGh', [2 6]);
fis = addvar(fis, 'input', 'MirGh_V2x', [0 5]);
fis = addvar(fis, 'input', 'GhMir', [2 6]);
fis = addvar(fis, 'input', 'GhMir_V2x', [0 6]);
% Add membership functions for inputs
for i = 1:6
    fis = addmf(fis, 'input', i, 'Low', 'gaussmf', [0.5 1]);
    fis = addmf(fis, 'input', i, 'Medium', 'gaussmf', [0.5 3]);
    fis = addmf(fis, 'input', i, 'High', 'gaussmf', [0.5 5]);
end
% Add outputs
fis = addvar(fis, 'output', 'ZAMIR_light', [0 40]);
fis = addvar(fis, 'output', 'MirGh_light', [0 50]);
fis = addvar(fis, 'output', 'GhMir_light', [0 60]);
% Add membership functions for outputs
for i = 1:3
    fis = addmf(fis, 'output', i, 'BigLow', 'gaussmf', [5 0]);
    fis = addmf(fis, 'output', i, 'Low', 'gaussmf', [5 10]);
    fis = addmf(fis, 'output', i, 'Medium', 'gaussmf', [5 20]);
    fis = addmf(fis, 'output', i, 'High', 'gaussmf', [5 30]);
    fis = addmf(fis, 'output', i, 'BigHigh', 'gaussmf', [5 40]);
end
rules_ZAMIR = [
    1 1 0 0 0 0 1 0 0 1 1; 
    1 2 0 0 0 0 2 0 0 1 1; 
    1 3 0 0 0 0 3 0 0 1 1; 
    2 1 0 0 0 0 4 0 0 1 1; 
    2 2 0 0 0 0 4 0 0 1 1; 
    2 3 0 0 0 0 2 0 0 1 1; 
    3 1 0 0 0 0 5 0 0 1 1; 
    3 2 0 0 0 0 4 0 0 1 1; 
    3 3 0 0 0 0 4 0 0 1 1; 
];
% Add rules to the system
fis = addrule(fis, rules_ZAMIR);
% Define rules for MirGh_light
rules_MirGh = [
    0 0 1 1 0 0 0 1 0 1 1; 
    0 0 1 2 0 0 0 2 0 1 1; 
    0 0 1 3 0 0 0 3 0 1 1; 
    0 0 2 1 0 0 0 4 0 1 1; 
    0 0 2 2 0 0 0 4 0 1 1; 
    0 0 2 3 0 0 0 2 0 1 1; 
    0 0 3 1 0 0 0 5 0 1 1; 
    0 0 3 2 0 0 0 4 0 1 1; 
    0 0 3 3 0 0 0 4 0 1 1; 
];
% Add rules to the system
fis = addrule(fis, rules_MirGh);
rules_GhMir = [
    0 0 0 0 1 1 0 0 1 1 1; 
    0 0 0 0 1 1 0 0 2 1 1; 
    0 0 0 0 1 3 0 0 3 1 1; 
    0 0 0 0 2 1 0 0 4 1 1; 
    0 0 0 0 2 2 0 0 4 1 1; 
    0 0 0 0 2 3 0 0 2 1 1; 
    0 0 0 0 3 1 0 0 5 1 1; 
    0 0 0 0 3 2 0 0 4 1 1; 
    0 0 0 0 3 3 0 0 4 1 1; 
];
fis = addrule(fis, rules_GhMir);
% Evaluate the fuzzy inference system
input_values = [2 1 4 1 4 3]; % Example input values
output_values = evalfis(input_values, fis);
fprintf('Green light time for Street A: %f seconds\n', output_values(1));
fprintf('Green light time for Street B: %f seconds\n', output_values(2));
fprintf('Green light time for Street C: %f seconds\n', output_values(3));

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Answer 1

Sam Chak on 25 Jun 2023

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Open in MATLAB Online

Hi @arash rad

The outputs change in the two tests below. More importantly, please check if the decision surfaces are expected as designed. In not, you need to reshape the fuzzy sets and retabulate the rules.

% Create a new fuzzy inference system

fis = newfis('TrafficLightController');

% Add inputs

fis = addvar(fis, 'input', 'ZaMir', [0 6]);

fis = addvar(fis, 'input', 'ZaMir_V2x', [0 6]);

fis = addvar(fis, 'input', 'MirGh', [0 6]);

fis = addvar(fis, 'input', 'MirGh_V2x', [0 6]);

fis = addvar(fis, 'input', 'GhMir', [0 6]);

fis = addvar(fis, 'input', 'GhMir_V2x', [0 6]);

% Add membership functions for inputs

for i = 1:6

fis = addmf(fis, 'input', i, 'L', 'gaussmf', [0.5 1]);

fis = addmf(fis, 'input', i, 'M', 'gaussmf', [0.5 3]);

fis = addmf(fis, 'input', i, 'H', 'gaussmf', [0.5 5]);

end

% Add outputs

fis = addvar(fis, 'output', 'ZAMIR_light', [0 40]);

fis = addvar(fis, 'output', 'MirGh_light', [0 50]);

fis = addvar(fis, 'output', 'GhMir_light', [0 60]);

% Add membership functions for outputs

for i = 1:3

fis = addmf(fis, 'output', i, 'BigLow', 'gaussmf', [5 0]);

fis = addmf(fis, 'output', i, 'Low', 'gaussmf', [5 10]);

fis = addmf(fis, 'output', i, 'Medium', 'gaussmf', [5 20]);

fis = addmf(fis, 'output', i, 'High', 'gaussmf', [5 30]);

fis = addmf(fis, 'output', i, 'BigHigh', 'gaussmf', [5 40]);

end

figure(1)

tiledlayout(2, 3);

nexttile

% subplot(2, 3, 1)

plotmf(fis, 'input', 1)

nexttile

plotmf(fis, 'input', 3)

nexttile

plotmf(fis, 'input', 5)

nexttile

plotmf(fis, 'input', 2)

nexttile

plotmf(fis, 'input', 4)

nexttile

plotmf(fis, 'input', 6)

rules_ZAMIR = [

1 1 0 0 0 0 1 0 0 1 1;

1 2 0 0 0 0 2 0 0 1 1;

1 3 0 0 0 0 3 0 0 1 1;

2 1 0 0 0 0 4 0 0 1 1;

2 2 0 0 0 0 4 0 0 1 1;

2 3 0 0 0 0 2 0 0 1 1;

3 1 0 0 0 0 5 0 0 1 1;

3 2 0 0 0 0 4 0 0 1 1;

3 3 0 0 0 0 4 0 0 1 1;

];

% Add rules to the system

fis = addrule(fis, rules_ZAMIR);

% Define rules for MirGh_light

rules_MirGh = [

0 0 1 1 0 0 0 1 0 1 1;

0 0 1 2 0 0 0 2 0 1 1;

0 0 1 3 0 0 0 3 0 1 1;

0 0 2 1 0 0 0 4 0 1 1;

0 0 2 2 0 0 0 4 0 1 1;

0 0 2 3 0 0 0 2 0 1 1;

0 0 3 1 0 0 0 5 0 1 1;

0 0 3 2 0 0 0 4 0 1 1;

0 0 3 3 0 0 0 4 0 1 1;

];

% Add rules to the system

fis = addrule(fis, rules_MirGh);

rules_GhMir = [

0 0 0 0 1 1 0 0 1 1 1;

0 0 0 0 1 1 0 0 2 1 1;

0 0 0 0 1 3 0 0 3 1 1;

0 0 0 0 2 1 0 0 4 1 1;

0 0 0 0 2 2 0 0 4 1 1;

0 0 0 0 2 3 0 0 2 1 1;

0 0 0 0 3 1 0 0 5 1 1;

0 0 0 0 3 2 0 0 4 1 1;

0 0 0 0 3 3 0 0 4 1 1;

];

fis = addrule(fis, rules_GhMir);

figure(2)

opt1 = gensurfOptions('OutputIndex', 1);

opt1.InputIndex = [1 2];

opt1.NumGridPoints = 41;

gensurf(fis, opt1)

figure(3)

opt2 = gensurfOptions('OutputIndex', 2);

opt2.InputIndex = [3 4];

opt2.NumGridPoints = 41;

gensurf(fis, opt2)

figure(4)

opt3 = gensurfOptions('OutputIndex', 3);

opt3.InputIndex = [5 6];

opt3.NumGridPoints = 41;

gensurf(fis, opt3)

% Test 1

input_values = [2 1 4 1 4 3]; % Example input values

output_values = evalfis(input_values, fis);

fprintf('Green light time for Street A: %f seconds\n', output_values(1));

Green light time for Street A: 20.876365 seconds

fprintf('Green light time for Street B: %f seconds\n', output_values(2));

Green light time for Street B: 34.014731 seconds

fprintf('Green light time for Street C: %f seconds\n', output_values(3));

Green light time for Street C: 30.000000 seconds

% Test 2

input_values = [2 4 3 3 4 2]; % Example input values

output_values = evalfis(input_values, fis);

fprintf('Green light time for Street A: %f seconds\n', output_values(1));

Green light time for Street A: 20.000000 seconds

fprintf('Green light time for Street B: %f seconds\n', output_values(2));

Green light time for Street B: 29.993243 seconds

fprintf('Green light time for Street C: %f seconds\n', output_values(3));

Green light time for Street C: 34.998340 seconds

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by changing input of fuzzy system the output does not change

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by changing input of fuzzy system the output does not change

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