Research on the emergency decision-making information extraction using theory of complex spatial relationship
ZHAO Qian-sheng1, ZHU Hai-guo2, LUO Nian-xue1
1. School of Geodesy and Goematics, Wuhan University, Wuhan 430079, China; 2. Communication Information Center, State Administration of Work Safety, Beijing 100013, China
Abstract：Emergency decision-making mining must consider complex spatial relationship between the geographic entities, but the integrity and accuracy of the mining results may not be guaranteed based on the traditional spatial 2D topological relations. In this paper, the algorithm of decision-making information mining was studied. Based on the expanded topological relations, the traditional information mining algorithms were improved. This paper expands the theory of traditional information extraction methods to solve the theoretical and technical problems, which provides a support for the scientific and reasonable emergency decision-making. Compared with the traditional information extraction model and RCC-8 model, this case study demonstrates the feasibility and effectiveness of the decision-making information mined from this study.
赵前胜, 朱海国, 罗年学. 基于复杂空间关系理论的应急决策信息提取研究[J]. 系统工程理论与实践, 2015, 35(10): 2606-2612.
ZHAO Qian-sheng, ZHU Hai-guo, LUO Nian-xue. Research on the emergency decision-making information extraction using theory of complex spatial relationship. Systems Engineering - Theory & Practice, 2015, 35(10): 2606-2612.
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2015, Vol. 35 
