不完备信息条件下地下管线震害预测的粗糙集方法
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摘要
为有效解决城市抗震防灾规划中信息资料不完备的地下管线震害预测问题,首先,采用ROUSTIDA算法对地下管线决策信息表进行补齐;其次,采用改进的贪心算法进行决策表离散化,利用基于信息熵的启发式算法进行属性约简,抽取评价知识,形成规则,并根据规则库进行地下管线震害预测分析;最后,以泉州市地下管线实际情况为例进行分析,并将该模型预测结果与地下管线震害分析的理论法计算结果对比分析,识别准确率达到90%,说明了所提方法的有效性和可行性.
In order to solve the problem of seismic damage prediction of underground pipeline system,which lacks investigation data in planning urban hazardous prevention,rough set methodology was adopted to analyze the problem.Firstly,ROUSTIDA algorithm was used to complete missing values in decision table of underground pipelines with incomplete information system.Secondly,an improved Greedy algorithm was made use of the discretization of decision table and influenced factors reduction algorithm based on condition information entropy was introduced to reduce attributes and obtain information to build rule base,and then seismic damage prediction of underground pipeline system can be analyzed according to the rule database.Finally,taking the underground pipelines in Quanzhou as an example,after doing lots of prediction experiments and comparing with other common prediction methods such as the theory method,the test result denoted that the recognition accuracy can reach 90%,and the method proposed in the paper proved to be effective and feasible.
引文
[1]孙平,王立.城市地下管线的现状、问题与治理[J].安全,2008,29(5):31-33.SUN Ping,WANG Li.The state problems and countermeasures of urban buried pipelines[J].Safety,2008,29(5):31-33.(in Chinese)
    [2]王威,马东辉,苏经宇,等.基于RS-SVM的地下管线震害预测方法研究[J].应用基础与工程科学学报,2009,17(2):274-280.WANG Wei,MA Dong-hui,SU Jing-yu,et al.Study on predicting method for earthquake damage to underground pipelinessystem based on rough set and support vector machine[J].Journal of Basic Science and Engineering,2009,17(2):274-280.(in Chinese)
    [3]王威,马东辉,苏经宇,等.利用GRNN方法分析地下管道抗震性能影响因素的敏感性[J].地震工程与工程振动,2009,29(2):138-142.WANG Wei,MA Dong-hui,SU Jing-yu,et al.Parameter sensitivity analysis on seismic response of underground pipelinebased on GRNN[J].Earthquake Engineering and Engineering Vibration,2009,29(2):138-142.(in Chinese)
    [4]王国胤.Rough集理论与知识获取[M].西安:西安交通大学出版社,2001:91-156.
    [5]张文修,吴志伟,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2001:85-180.
    [6]乔亚玲,李莉华,闫维明,等.基于信息熵的震害预测影响因子启发式约简算法研究[J].工程抗震与加固改造,2007,29(3):109-113.QIAO Ya-ling,LI Li-hua,YAN Wei-ming,et al.Research of influenced factors reduction algorithm based on conditioninformation entropy in seismic prediction[J].Earthquake Resistant Engineering and Retrofitting,2007,29(3):109-113.(in Chinese)
    [7]ZHU W H,ZHANG W,FU Y Q.An incomplete data analysis approach using rough set theory[C]∥Proceedings 2004International Conference on Intelligent Mechatronics and Automation 2004.New York:IEEE,2004:332-338.
    [8]曾黄麟.粗集理论及其应用[M].重庆:重庆大学出版社,1996:32-86.
    [9]马东辉,苏经宇,郭小东,等.泉州市规划区城市基础设施系统抗震易损性的研究[R].北京:北京工业大学抗震减灾研究所,2004.
    [10]林成龙,孙即祥.粗糙集理论在决策判断中的应用[J].电光与控制,2005,12(2):47-51.LIN Cheng-long,SUN Ji-xiang.Application of rough set in decision[J].Electronics Optics&Control,2005,12(2):47-51.(in Chinese)

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