Simulation - number of samples

MATLAB Helpcenter states:

When analyzing your FIS, you can configure the resolution of the output variable universe of discourse. To do so, set the Number of Samples parameter.

Is there a preset (optimum) value and how is this determined?

Answer 1

[Torsten]

Is there a preset (optimum) value and how is this determined?

As big as necessary and as small as possible. You will have to test it for several values.

[Steve]

Can you please elaborate.

[Torsten]

Do you know Monte-Carlo simulation ? You need a minimum number of runs to establish a trustworthy value for probability, but you shouldn't use too many runs in order not to waste time and memory.

I'm not sure, but I think "Number of Samples" here is a similar parameter as the number of runs in Monto-Carlo Simulation. The more you choose, the better will be the resolution of the result, but the more computing time and memory will be necessary.

From the documentation:

When analyzing your FIS, you can configure the resolution of the output variable universe of discourse. To do so, set the Number of Samples parameter.

But before using a tool like the fuzzy logic toolbox, you should read its documentation to know about the theoretical background. Or do you know better what is meant by "Mamdani To Sugeno" or "Rule Inference" or "Control Surface" ?