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]}"); }