private void RunFuzzy()
{
float[] minValues = new float[CrispInput.NumberOfVariables] {
Input1Min, Input2Min, -1
};
float[] neutralValues = new float[CrispInput.NumberOfVariables] {
0, 0, 0
};
float[] maxValues = new float[CrispInput.NumberOfVariables] {
Input1Max, Input2Max, 1
};
CrispInput crispInput = fuzzySystem.BuildInputNormalisedUneven(new float[] { crispInput1, crispInput2, crispInput3 }, minValues, neutralValues, maxValues);
Debug.Log($"In log {crispInput1} -> {crispInput[CrispInput.Inputs.Input1]}");
CrispOutput normalisedCrispOutput = fuzzySystem.FuzzyCompute(crispInput);
CrispOutput unNormalisedOutput = fuzzySystem.UnNormaliseOutputUneven(normalisedCrispOutput, minValues, neutralValues, maxValues);
Debug.Log($"Out log {normalisedCrispOutput[CrispOutput.Outputs.Output1]} -> {unNormalisedOutput[CrispOutput.Outputs.Output1]}");
}