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Table 7

Final results of determination optimum c and m for different clustering scenarios

Clustering scenario (input components)Range of mOptimum fuzzification parameter (m)Optimum number of cluster (c)
Technique ITechnique IITechnique III
Scenario 1 (TPI-CN-Distance-P50) 1.1 ≤ m ≤ 2.2 1.6 7 6 
Scenario 2 (TPI-CN-Distance-P25) 1.1 ≤ m ≤ 2.6 1.6 8 6 
Scenario 3 (TPI-CN-Distance-P100) 1.1 ≤ m ≤ 2.3 1.6 4 6 
Scenario 4 (TPI-CN-P50) 1.1 ≤ m ≤ 2.7 1.7 6 6 
Clustering scenario (input components)Range of mOptimum fuzzification parameter (m)Optimum number of cluster (c)
Technique ITechnique IITechnique III
Scenario 1 (TPI-CN-Distance-P50) 1.1 ≤ m ≤ 2.2 1.6 7 6 
Scenario 2 (TPI-CN-Distance-P25) 1.1 ≤ m ≤ 2.6 1.6 8 6 
Scenario 3 (TPI-CN-Distance-P100) 1.1 ≤ m ≤ 2.3 1.6 4 6 
Scenario 4 (TPI-CN-P50) 1.1 ≤ m ≤ 2.7 1.7 6 6 
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