Hi Daniel,
for implementing 'OR' connections in the fuzzy logic system auto-tuning process, a potential workaround involves customizing the rule generation or tuning process. This customization can be achieved by manually defining rules with 'OR' connections based on the specific requirements of the system.
Let's consider a hypothetical scenario where we want to incorporate 'OR' connections in the fuzzy logic system. We can create custom rules using the Mamdani fuzzy inference system in MATLAB. Below is a simplified example demonstrating how to define rules with 'OR' connections:
% Define input variables
input = [0 10 20 30 40]; output = [0 1 2 3 4];
% Create fuzzy input/output membership functions
fis = mamfis('Name','customFIS');
fis = addInput(fis,[0 40],'Name','input1',input);
fis = addOutput(fis,[0 4],'Name','output1',output);
% Define custom rules with 'OR' connections
rule1 = "If input1 is 10 or input1 is 20 then output1 is 1";
rule2 = "If input1 is 30 or input1 is 40 then output1 is 4";
% Add rules to the fuzzy inference system
fis = addRule(fis,rule1);
fis = addRule(fis,rule2);
% Evaluate the fuzzy inference system
evalfis([20],fis)
By manually specifying rules with 'OR' connections as shown in the example above, you can introduce the desired logic into the fuzzy system. This approach allows for greater flexibility and customization in rule generation, enabling you to tailor the system to your specific needs.
Hope that answers your question.
