Research Article

An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques

Table 17

IT2MPE-DMFP validation index results to Abalone dataset clustering using IT2FPCM and IT2FCM algorithm with = [1.5, 2.5] and = [1.5, 2.5] as parameters.

Index validation IT2MPEDFP
DatasetClustersIT2FPCMIT2FCM
DefuzzLowerUpperDefuzzLowerUpper

Abalone20.497990.517680.478290.498410.517910.47891
30.819000.752330.885680.819580.752420.88675
41.169150.992861.345451.169890.993171.34660
51.496651.186591.806711.497431.186581.80828
62.025151.556382.493932.001171.528472.47388
72.347571.730282.964862.359071.735902.98224
82.751941.974643.529232.710391.963883.45690
92.890662.087733.693582.917882.107013.72875
103.360642.412094.309193.468942.481564.45633