Comprehensive evaluation is carried out to compare three different Cluttering Validity methods; Partition Coefficient, Partition Entropy and Proportional Exponent in the Evaluation of the results for Finding Electrical faults in industrial MV network using fuzzy clustering technique. Different data normalization methods and different range of alfa cut values for defuzzification are considered in the comparison process. The result shows that using Partition Entropy with Maximum Matrix normalization and 50% alpha cut gives the best effort saving of 95.15 in finding the fault.