Research Article
Optimal Maintenance Decision Method for a Sensor Network Based on Belief Rule Base considering Attribute Correlation
Table 6
Optimized health assessment model for WSN.
| No. | Rule weight | Characteristic | Output distribution of belief rule | CR | FR | {L, SL, M, SH, and H} |
| 1 | 0.2237 | L | L | (0.1941 0.3806 0.0839 0.0605 0.2809) | 2 | 0.0340 | L | SL | (0.0366 0.2194 0.4384 0.0619 0.2438) | 3 | 0.4825 | L | M | (0.2308 0.1866 0.2243 0.2737 0.0848) | 4 | 0.9214 | L | SH | (0.2901 0.2480 0.0365 0.0285 0.3968) | 5 | 0.1094 | L | H | (0.1499 0.4173 0.0806 0.2005 0.1517) | 6 | 0.0213 | M | L | (0.0278 0.4044 0.3744 0.0823 0.1112) | 7 | 0.8192 | M | SL | (0.9246 0.0103 0.0564 0.0000 0.0226) | 8 | 0.0745 | M | M | (0.3313 0.2423 0.2751 0.0995 0.0519) | 9 | 0.1110 | M | SH | (0.3338 0.1885 0.2150 0.0755 0.1872) | 10 | 0.3228 | M | H | (0.4458 0.1847 0.1215 0.1488 0.0992) | 11 | 0.4260 | SH | L | (0.1800 0.1473 0.0343 0.4604 0.1780) | 12 | 0.2566 | SH | SL | (0.5815 0.1738 0.1383 0.0733 0.0332) | 13 | 0.8864 | SH | M | (0.8368 0.0646 0.0500 0.0424 0.0063) | 14 | 0.3489 | SH | SH | (0.4968 0.0901 0.1494 0.1831 0.0806) | 15 | 0.4101 | SH | H | (0.1739 0.2406 0.3724 0.0390 0.1741) | 16 | 0.1775 | H | L | (0.0580 0.3663 0.2701 0.2254 0.0802) | 17 | 0.9738 | H | SL | (0.1383 0.5759 0.1463 0.0329 0.1066) | 18 | 0.0559 | H | M | (0.1947 0.0924 0.1375 0.0333 0.5422) | 19 | 0.0907 | H | SH | (0.2482 0.1992 0.2872 0.1637 0.1017) | 20 | 0.8838 | H | H | (0.1363 0.4430 0.1582 0.1333 0.1292) |
|
|