Table 3 Fuzzy logic framework validation using random values

From: Fuzzy logic-based approach for porcine DNA determination in meat products

Target Gene

Ct Value

Output

Presence of Porcine DNA

Amount

Cytochrome B

10

0.222 (YES)

0.0978 (High)

15

0.265 (YES)

0.117 (High)

17

0.289 (YES)

0.128 (High)

25

0.255 (YES)

0.488 (Average/Low)

33

0.244(YES)

0.489 (Average/Low)

36

0.277 (YES)

0.487 (Average/Low)

18sRNA

12

0.247 (YES)

0.109 (High)

15

0.285 (YES)

0.126 (High)

16

0.300 (YES)

0.133 (High)

28

0.227 (YES)

0.490 (Average/Low)

32

0.241 (YES)

0.489 (Average/Low)

35

0.270 (YES)

0.487 (Average/Low)

12 sRNA

15

0.254 (YES)

0.112 (High)

16

0.265 (YES)

0.117 (High)

18

0.289 (YES)

0.128 (High)

26

0.254 (YES)

0.488 (Average/Low)

30

0.222 (YES)

0.490 (Average/Low)

36

0.277 (YES)

0.487 (Average/Low)

D-Loop Mitochondria

14

0.227 (YES)

0.099 (High)

16

0.239 (YES)

0.105 (High)

19

0.265 (YES)

0.117 (High)

27

0.280 (YES)

0.486 (Average/Low)

34

0.239 (YES)

0.489 (Average/Low)

35

0.313 (YES)

0.485 (Average/Low)