Table 8 Values of objective measures for Dataset 3, bold faces indicate better results.

From: Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion

Image

Method

Mean

SD

SF

FMI

AG

Xydeas

\(S_1\)

PCA-DWT

39.50

48.10

7.82

0.84

5.90

0.64

CNP-MIF

58.77

73.64

8.20

0.86

7.83

0.71

DTNP-MIF

59.27

67.66

17.27

0.82

6.52

0.53

MDLSR-RFM

59.01

73.88

7.99

0.85

7.66

0.37

IFS-based method

59.51

73.94

22.45

0.88

7.78

0.76

Proposed method

59.823

74.84

25.75

0.84

8.29

0.71

\(S_2\)

PCA-DWT

45.65

46.68

7.76

0.90

6.75

0.46

CNP-MIF

66.49

69.21

8.14

0.91

8.77

0.56

DTNP-MIF

66.65

68.21

25.77

0.91

8.27

0.48

MDLSR-RFM

66.38

69.19

7.70

0.84

8.07

0.16

IFS-based method

67.18

69.30

26.92

0.92

8.68

0.63

Proposed method

67.28

69.94

28.54

0.90

9.06

0.57

\(S_3\)

PCA-DWT

94.92

68.96

10.61

0.84

11.89

0.44

CNP-MIF

112.94

85.05

10.77

0.85

14.44

0.51

DTNP-MIF

116.44

86.52

33.75

0.84

14.25

0.48

MDLSR-RFM

104.09

86.55

10.48

0.74

13.39

0.01

IFS-based method

118.05

86.85

34.70

0.86

14.22

0.56

Proposed method

117.58

88.89

41.17

0.83

15.34

0.49