Research Article
Dynamic Risk Assessment of Karst Tunnel Collapse Based on Fuzzy-AHP: A Case Study of the LianHuaShan Tunnel, China
Table 6
Judgment matrix of layer C to layer B.
| | C111 | C112 | | C131 | C132 | C133 | | C141 | C142 | | C311 | C312 | C313 | C314 | | C321 | C322 | C323 |
| C111 | 1 | 7 | C131 | 1 | 1/5 | 1/7 | C141 | 1 | 1/4 | C311 | 1 | 3 | 5 | 8 | C321 | 1 | 1/5 | 4 | C112 | 1/7 | 1 | C132 | 5 | 1 | 1/3 | C142 | 4 | 1 | C312 | 1/3 | 1 | 2 | 3 | C322 | 5 | 1 | 9 | Feature vector W = {0.88, 0.13}T Satisfying consistency | C133 | 7 | 3 | 1 | Feature vector W = {0.20, 0.80}T Satisfying consistency | C313 | 1/5 | 1/2 | 1 | 2 | C323 | 1/4 | 1/9 | 1 | Feature vector W = {0.07, 0.28, 0.65}T λmax = 4.25, CI = 0.03, CR = 0.06 < 0 Satisfying consistency | C314 | 1/8 | 1/3 | 1/2 | 1 | Feature vector W = {0.19, 0.74, 0.06}T λmax = 3.07, CI = 0.036, CR = 0.069 < 0.1, Satisfying consistency | Feature vector: W = {0.60, 0.21, 0.12, 0.07}T λmax = 4.01, CI = 0.004, CR = 0.004 < 0.1, Satisfying consistency |
|
|