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Table 7 Comparison of tests presented in "TEST SET C" (changes were realized in the defuzzification functions)

From: Fuzzy method for pre-diagnosis of breast cancer from the Fine Needle Aspirate analysis

Tests Defuzzification function Sensitivity (%) Specificity (%)
PDM-FNA-Fuzzy developed centroid (1) 98.59 85.43
Test C.1 bisector(2) 98.59 83.47
Test C.2 mom(3) 98.59 77.59
Test C.3 lom(4) 98.59 73.67
Test C.4 som(5) 98.59 77.59
  1. (1) centroid - calculates the output set (OS) area center generated in the inference stage and determines its projection on the x-axis, that is the control output value.
  2. (2) bisector - exact position that splits the output set into two equal areas.
  3. (3) mom (Middle of Maximum) - it performs the arithmetic mean of all maximum values of the OS.
  4. (4) lom (Largest of Maximum) - considers the greatest among all the maximum values of the OS.
  5. (5) som (Smallest of Maximum) - considers the lowest among all the maximum values of the OS.