Can Fuzzy Logic Toolbox output words?

I have a simple .fis that outputs values between -3 and 3. There are three distinct categories within -3 and 3, meaning between -3 and -1 represents one category, -1 to 1 another, and 1 to 3 the last one. The fuzzy operator outputs numbers, which is what I expected it to do, but when looking at the numbers I'm having to convert in my head which category it is. Not that big of a deal, I know, but is still a minor inconvenience.

So my question is, can I have the fuzzy operator output words instead of numbers? If not, how do I make the matrix that the fuzzy operator is outputting into a specific matrix that says the name of my categories?

[Olivia Milton-thompson]

Hi Nick, I understand you published this a while ago but I've got the same question as you, and I was wondering if you got a solution in the end?

Thanks :)

[Nick Kelly]

 figure(1)
Labels = {'High' 'Mid' 'Low'}; %creates Y-axis cell
plot(T, Data) 
set(gca, 'YTick', -1:1, 'YTickLabel', Labels); % makes Y-axis Labels
xlabel('Time(s)'); ylabel('Position');

This is what worked for what I needed.

Answer 1

[Shubham]

Hi Nick,

In MATLAB, if you're working with a Fuzzy Inference System (FIS) and want to map numerical outputs to categorical labels, you can achieve this by post-processing the output. While the FIS itself will output numerical values, you can write a simple script to convert these numbers into corresponding category names.

Here’s how you can do that:

1. Create a function or script that maps the output values to category names.
2. Use this mapping function to convert the numerical output to the desired labels.

Here’s a sample MATLAB script to illustrate this:

% Define the categories and their corresponding ranges
categories = {'Low', 'Medium', 'High'};
category_ranges = [-3, -1; -1, 1; 1, 3];

% Example output from the FIS
fis_output = [-2.5, 0.5, 2.2, -1.5, 1.5];

% Function to map numerical output to category names
function category_name = mapToCategory(value, categories, category_ranges)
    for i = 1:length(categories)
        if value >= category_ranges(i, 1) && value <= category_ranges(i, 2)
            category_name = categories{i};
            return;
        end
    end
    category_name = 'Unknown'; % If the value doesn't fit any category
end

% Convert the FIS outputs to category names
category_labels = arrayfun(@(x) mapToCategory(x, categories, category_ranges), fis_output, 'UniformOutput', false);

% Display the results
disp('FIS Outputs and their corresponding categories:');
for i = 1:length(fis_output)
    fprintf('Output: %.2f -> Category: %s\n', fis_output(i), category_labels{i});
end

Explanation:

• You define the categories and their corresponding numerical ranges in the categories and category_ranges arrays.
• The mapToCategory function checks which range the output value falls into and returns the corresponding category name.
• The arrayfun function applies the mapToCategory function to each element of the fis_output array, converting all numerical outputs to category names.

This approach allows you to maintain a clear separation between numerical processing and categorical interpretation, making it easier to manage and update categories as needed.