Hello Muhammad,
To evaluate your Mamdani Fuzzy Inference System (FIS) with a dataset stored in an Excel file, you can use MATLAB's Fuzzy Logic Toolbox along with its ability to read Excel files.
- First, ensure that your Mamdani FIS is saved in a .fis file. You can load this FIS into MATLAB using the `readfis` function. For more information on this function, you can follow this link: https://www.mathworks.com/help/fuzzy/readfis.html
fis = readfis('your_fis_file.fis'); % Replace with your actual FIS file name
- Use the xlsread function to read your dataset from the Excel file. You need to specify the file name and the range of data if necessary. For more information on xlsread and other related functions, please follow this link: https://www.mathworks.com/help/matlab/ref/xlsread.html
[data, ~, ~] = xlsread('your_data_file.xlsx'); % Replace with your actual Excel file name
- Assuming your dataset has 4 input columns and 1 output column, you can evaluate the FIS for each row of data using a loop or vectorized operation. The evalfis function is used for this purpose. For more information on the same please go through: https://www.mathworks.com/help/fuzzy/mamfis.evalfis.html
% Preallocate output array
numRows = size(data, 1);
output = zeros(numRows, 1);
% Evaluate FIS for each row
for i = 1:numRows
inputs = data(i, 1:4); % Adjust the indices based on your input columns
output(i) = evalfis(fis, inputs);
end
- You can display the results or save them back to an Excel file.
disp('FIS Output:');
disp(output);
xlswrite('fis_output.xlsx', output); % Saves the output to a new Excel file
Ensure that the Fuzzy Logic Toolbox is installed before executing these steps. For more information on the same you can follow this link: https://www.mathworks.com/help/fuzzy/
I hope this helps!
