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粗糙集理论在震害预测中的应用
Application of rough set theory to prediction of seismic damage
【摘要】 知识约简是粗糙集理论的核心问题。首次尝试将这一概念用于建筑物震害预测工作中,结合震害预测工作的实际,提出了一种基于属性重要性的近似相对约简算法,并通过实例验证了其可行性。所述研究具有理论和现实意义,对今后进行有关抗震防灾工作具有很好的应用价值,并为开展震害预测工作提供了新的研究思路和手段。
【Abstract】 Reduction of knowledge is the core of rough set theory.This paper attempts to apply the concept to seismic damage prediction firstly,bring forward an approximate algorithm based on property weightiness for reduction of knowledge in view of seismic damage prediction,and finally use an example to validate its feasibility.The work of the paper has academic and practical meaning,and has an available value in earthquake resistance,as well as provides a new insight and tool for developing seismic damage prediction.
【关键词】 条件信息熵;
知识约简;
震害预测;
【Key words】 condition information entropy; reduction of knowledge; seismic damage prediction;
【Key words】 condition information entropy; reduction of knowledge; seismic damage prediction;
【基金】 国家自然科学基金资助项目(50478042);北京市教委科技与研究生教育建设项目(4700001401509)
- 【文献出处】 自然灾害学报 ,Journal of Natural Disasters , 编辑部邮箱 ,2006年03期
- 【分类号】P315.9
- 【被引频次】21
- 【下载频次】229