S. No. | Sem-1 | Sem-2 | Sem-3 | Classical Method | Fuzzy-1 | Fuzzy-2 | |||
Output | Grade | Output | Grade | Output | Grade | ||||
1. | 0.10 | 0.2333 | 0.2000 | 0.178 | E | 0.253 | D* | 0.151 | E* |
2. | 0.05 | 0.1667 | 0.1200 | 0.112 | E | 0.190 | E | 0.101 | E |
3. | 0.15 | 0.1333 | 0.1800 | 0.154 | E | 0.200 | E | 0.120 | E |
4. | 0.45 | 0.2667 | 0.4000 | 0.372 | D | 0.443 | D | 0.351 | D |
5. | 0.35 | 0.3333 | 0.3000 | 0.328 | D | 0.390 | D | 0.312 | D |
6. | 0.35 | 0.5000 | 0.3800 | 0.410 | D | 0.483 | C* | 0.382 | C |
7. | 0.45 | 0.4333 | 0.5400 | 0.474 | C | 0.481 | C | 0.521 | C |
8. | 0.50 | 0.4000 | 0.5000 | 0.467 | C | 0.520 | C | 0.467 | C |
9. | 0.45 | 0.5000 | 0.5800 | 0.510 | C | 0.574 | B* | 0.491 | B |
10. | 0.50 | 0.7000 | 0.6200 | 0.607 | B | 0.640 | B | 0.752 | A* |
11. | 0.65 | 0.7000 | 0.7400 | 0.697 | B | 0.720 | B | 0.780 | A* |
12. | 0.85 | 0.6000 | 0.7600 | 0.737 | B | 0.770 | A* | 0.790 | A |
13. | 0.95 | 0.7667 | 0.8600 | 0.859 | A | 0.870 | A | 0.880 | A |
14. | 0.85 | 0.8333 | 0.9600 | 0.881 | A | 0.890 | A | 0.940 | A |
15. | 0.90 | 0.9000 | 0.9800 | 0.927 | A | 0.950 | A | 0.990 | A |
16. | 0.35 | 0.4500 | 0.7500 | 0.520 | C | 0.575 | B* | 0.685 | B |
17. | 0.75 | 0.4500 | 0.3500 | 0.520 | C | 0.575 | B* | 0.440 | C* |