Entropy-Based Set Pair Analysis Model on Geological Disaster Risk for Military Engineering
- 1 Engineering Institute of Engineering Corps, PLA University of Science & Technology, Nanjing, China
- 2 Engineering Institute of Engineering Corps, PLA University of Science & Technology, Nanjing, China
- 3 Engineering Institute of Engineering Corps, PLA University of Science & Technology, Nanjing, China
Abstract
Measuring the geological disaster-risked situation, is a typical non-deterministic decision-making issue in disaster pre- vention and emergency response science for military engineering. Based on the given geological disaster risk analysis mechanism, geological disaster risk monitoring matrix was established, and risk characters’ value was obtained by mining the hidden information in the monitoring matrix with Entropy theory; with Identity, Discrepancy, and Contrary of Set Pair Analysis and distance measurement, geological disaster-risked model was erected for military engineering, and the steps were given for measuring geological disaster risk, which determined geological disaster-risked SPA force and order relationship of military engineering. Finally, case showed that model has the feasibility and effectiveness over measuring the geological disaster-risked situation for military engineering.
- H. P. Xiao and F. X. Pan, “Geological Hazard and Hazard Prevention,” Beijing, 2000.
- Q. H. Song, D. S. Liu, Y. Wu, et al., “Comprehension and Discussion on Some Basic Concepts about Geo-Hazards Risk Assessment and Management,” Chinese Journal of Underground Space and Engineering, Vol. 4, No. 6, 2008, pp. 1177-1182.
- F. F. Liu and J. X. Zou, “The Content Method and De- velopment of Geo-Hazards Evaluation,” Chinese Journal of Hebei Institute of Technology, Vol.2 8, No. 4, 2006, pp. 126-129. doi:1007-2829(2006)04-0126-04
- S. R. Wu, J. S. Shi, C. S. Zhang, et al., “Preliminary Dis- cussion OR Technical Guideline for Geohazard Risk Assessment,” Geological Bulletin of China, Vol. 28, No. 8, 2009, pp. 995-1005.
- F. S. Wang and H. J. Zhang, “Damage Evaluation Modeling on Military Engineering based on UML,” Application Research of Computers, Vol. 27, No. S1, 2010, pp. 648-649.
- F. S. Wang, W. H. Zhu and H. Q. Lu, “Decision-Making Modeling of Military Engineering Repair Operations Based on Organizational Design,” 2010 International Colloquium on Computing, Communication, Control, and Management, Vol. 1, Yangzhou, 20-22 August 2010, pp. 1221-224.
- S. L. Gong, “SPA of Risk Assessment of Secondary Disasters of Earthquake,” Acta Geological Sichuan, Vol. 30, No. 1, 2010, pp. 118-122.
- K. Q. Zhao, “Set Pair Analysis and Applications,” Hang- zhou, 2000.
- Y. Horibe, “Entropy and Correlation,” IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-15, No. 5, 1985, pp. 641-642.
- F. S. Wang, Y. Cao and M. Liu. “Risk Early-Warning Method for Natural Disasters Based on Integration of Entropy and DEA Model,” Journal of Applied Mathematics, Vol. 2, No. 1, 2011, pp. 23-32. doi:10.4236/am.2011.21003
- L. S. Qu, L. M. Li and J. Lee, “Enhanced Diagnostic Certainty Using Information Entropy Theory,” Advanced Engineering Information, Vol. 17, No. 3-4, 2003, pp. 141- 150. doi:10.1016/j.aei.2004.08.002
- X. L. Tan, W. Y. Xu and G. L. Liang, “Application of Extenics Method To Comprehensive Safety Evaluation of Rock Slope,” Chinese Journal of Rock Mechanics and Engineering, Vol. 28, No. 12, 2009, pp. 2503-2509. doi:1000-6915(2009)12-2503-07
- K. T. Lee and J. Y. Ho, “Prediction of Landslide Occur- rence Based on Slope-Instability Analysis and Hydrolo- gical Model Simulation,” Journal of Hydrology, Vol. 375, No. 3-4, 2009, pp. 489-497. doi:10.1016/j.jhydrol.2009.06.053