Table 8 Euclidean distance from IB and IW, performance score \(\:P\), and ranking.

From: Numerical simulations of blood flow in a stenosed artery using a multi-criteria decision-making Algorithm

Sr. No

\(\:\varvec{D}+\)

\(\:\varvec{D}-\)

\(\:\varvec{P}\:=\varvec{D}-/\left(\right(\varvec{D}-)+(\varvec{D}+)\)

Ranking

1

\(\:2.25\:\times\:\:10^{-2}\)

\(\:8.01\:\times\:\:10^{-2}\)

\(\:7.807\:\times\:\:10^{-1}\)

3

2

\(\:8.34\:\times\:\:10^{-2}\)

\(\:2.65\:\times\:\:10^{-2}\)

\(\:2.412\:\times\:\:10^{-1}\)

29

3

\(\:7.98\:\times\:\:10^{-2}\)

\(\:3.25\:\times\:\:10^{-2}\)

\(\:2.893\:\times\:\:10^{-1}\)

26

4

\(\:2.68\:\times\:\:10^{-2}\)

\(\:7.36\:\times\:\:10^{-2}\)

\(\:7.332\:\times\:\:10^{-1}\)

7

5

\(\:4.22\:\times\:\:10^{-2}\)

\(\:5.80\:\times\:\:10^{-2}\)

\(\:5.789\:\times\:\:10^{-1}\)

12

6

\(\:5.09\:\times\:\:10^{-2}\)

\(\:4.73\:\times\:\:10^{-2}\)

\(\:4.816\:\times\:\:10^{-1}\)

18

7

\(\:5.02\:\times\:\:10^{-2}\)

\(\:5.77\:\times\:\:10^{-2}\)

\(\:5.345\:\times\:\:10^{-1}\)

16

8

\(\:2.92\:\times\:\:10^{-2}\)

\(\:8.39\:\times\:\:10^{-2}\)

\(\:7.421\:\times\:\:10^{-1}\)

6

9

\(\:7.94\:\times\:\:10^{-2}\)

\(\:1.91\:\times\:\:10^{-2}\)

\(\:1.937\:\times\:\:10^{-1}\)

32

10

\(\:6.64\:\times\:\:10^{-2}\)

\(\:3.57\:\times\:\:10^{-2}\)

\(\:3.495\:\times\:\:10^{-1}\)

24

11

\(\:7.80\:\times\:\:10^{-2}\)

\(\:3.05\:\times\:\:10^{-2}\)

\(\:2.814\:\times\:\:10^{-1}\)

27

12

\(\:4.18\:\times\:\:10^{-2}\)

\(\:6.27\:\times\:\:10^{-2}\)

\(\:6.003\:\times\:\:10^{-1}\)

11

13

\(\:8.04\:\times\:\:10^{-2}\)

\(\:2.40\:\times\:\:10^{-2}\)

\(\:2.296\:\times\:\:10^{-1}\)

30

14

\(\:4.79\:\times\:\:10^{-2}\)

\(\:6.49\:\times\:\:10^{-2}\)

\(\:5.755\:\times\:\:10^{-1}\)

13

15

\(\:5.64\:\times\:\:10^{-2}\)

\(\:4.28\:\times\:\:10^{-2}\)

\(\:4.313\:\times\:\:10^{-1}\)

20

16

\(\:2.60\:\times\:\:10^{-2}\)

\(\:7.51\:\times\:\:10^{-2}\)

\(\:7.429\:\times\:\:10^{-1}\)

5

17

\(\:5.27\:\times\:\:10^{-2}\)

\(\:6.45\:\times\:\:10^{-2}\)

\(\:5.502\:\times\:\:10^{-1}\)

15

18

\(\:5.55\:\times\:\:10^{-2}\)

\(\:5.03\:\times\:\:10^{-2}\)

\(\:4.753\:\times\:\:10^{-1}\)

19

19

\(\:2.11\:\times\:\:10^{-2}\)

\(\:8.89\:\times\:\:10^{-2}\)

\(\:8.083\:\times\:\:10^{-1}\)

2

20

\(\:7.23\:\times\:\:10^{-2}\)

\(\:3.50\:\times\:\:10^{-2}\)

\(\:3.260\:\times\:\:10^{-1}\)

25

21

\(\:1.58\:\times\:\:10^{-2}\)

\(\:9.18\:\times\:\:10^{-2}\)

\(\:8.533\:\times\:\:10^{-1}\)

1

22

\(\:3.86\:\times\:\:10^{-2}\)

\(\:7.50\:\times\:\:10^{-2}\)

\(\:6.606\:\times\:\:10^{-1}\)

9

23

\(\:5.14\:\times\:\:10^{-2}\)

\(\:4.79\:\times\:\:10^{-2}\)

\(\:4.826\:\times\:\:10^{-1}\)

17

24

\(\:9.14\:\times\:\:10^{-2}\)

\(\:2.01\:\times\:\:10^{-2}\)

\(\:1.803\:\times\:\:10^{-1}\)

33

25

\(\:5.88\:\times\:\:10^{-2}\)

\(\:4.03\:\times\:\:10^{-2}\)

\(\:4.064\:\times\:\:10^{-1}\)

21

26

\(\:7.80\:\times\:\:10^{-2}\)

\(\:2.52\:\times\:\:10^{-2}\)

\(\:2.441\:\times\:\:10^{-1}\)

28

27

\(\:7.24\:\times\:\:10^{-2}\)

\(\:4.79\:\times\:\:10^{-2}\)

\(\:3.981\:\times\:\:10^{-1}\)

22

28

\(\:8.59\:\times\:\:10^{-2}\)

\(\:2.34\:\times\:\:10^{-2}\)

\(\:2.140\:\times\:\:10^{-1}\)

31

29

\(\:2.75\:\times\:\:10^{-2}\)

\(\:8.28\:\times\:\:10^{-2}\)

\(\:7.507\:\times\:\:10^{-1}\)

4

30

\(\:2.78\:\times\:\:10^{-2}\)

\(\:7.60\:\times\:\:10^{-2}\)

\(\:7.326\:\times\:\:10^{-1}\)

8

31

\(\:7.64\:\times\:\:10^{-2}\)

\(\:4.24\:\times\:\:10^{-2}\)

\(\:3.570\:\times\:\:10^{-1}\)

23

32

\(\:5.28\:\times\:\:10^{-2}\)

\(\:7.13\:\times\:\:10^{-2}\)

\(\:5.744\:\times\:\:10^{-1}\)

14

33

\(\:3.92\:\times\:\:10^{-2}\)

\(\:7.45\:\times\:\:10^{-2}\)

\(\:6.553\:\times\:\:10^{-1}\)

10

34

\(\:2.933\:\times\:\:10^{-1}\)

\(\:2.05\:\times\:\:10^{-2}\)

\(\:6.530\:\times\:\:10^{-2}\)

36

35

\(\:2.933\:\times\:\:10^{-1}\)

\(\:2.05\:\times\:\:10^{-2}\)

\(\:6.540\:\times\:\:10^{-2}\)

35

36

\(\:2.933\:\times\:\:10^{-1}\)

\(\:2.06\:\times\:\:10^{-2}\)

\(\:6.570\:\times\:\:10^{-2}\)

34