[Retracted] Interval Information Content of Fuzzy Relation and the Application in the Fuzzy Implication Operators

Table 6

Similarity measure between the implication operator and cluster center.

Interval segmentation	Cluster Result	Cluster center	Similarity measure between I14 and clustering centers	Similarity measure between I15 and clustering centers
The average insertion of 9 points	{I5, I6, I11}	[1.1682, 1.1682]	0.0910	1.0032
	{ I1, I2, I3, I4, I7, I8, I9, I10, I12, I13}	[0.4263, 0.4263]	0.2494	0.3628
The average insertion of 19 points	{I5, I6, I11}	[1.3790, 1.3790]	0.0413	0.9426
	{ I1, I2, I3, I4, I7, I8, I9, I10, I12, I13}	[0.4357, 0.4357]	0.1308	0.3352
The average insertion of 99 points	{I5, I6, I11}	[1.6213, 1.6213]	0.0074	0.7831
	{ I1, I2, I3, I4, I7, I8, I9, I10, I12, I13}	[0.4450, 0.4450]	0.027	0.2149
The random insertion of 9 points	{I5, I6, I11}	[0.8475, 0.8779]	0.1156	0.7495
	{ I1, I2, I3, I4, I7, I8, I9, I10, I12, I13}	[0.3555, 0.4194]	0.2576	0.3358