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Model of Generic Project Risk Element Transmission Theory Based on Data Mining
  • 时间:0
  • 分类:TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Business Administration, North China Electric Power University, Beijing 102206, China
  • 相关基金:Project(70572090) supported by the National Natural Science Foundation of China
  • 相关项目:广义项目风险元传递理论模型及其应用研究
中文摘要:

为了为通用工程风险研究,风险元素被给的通用工程的基本定义,然后通用工程风险元素的一个新模型构造数据采矿框架,与定义被介绍。从模型,数据采矿方法被用来从历史的数据库分析获得风险传播矩阵。在通用工程风险元素之中的量的计算问题被解决。这个方法与有限状态处理风险元素传播问题很好。并且以便得到有限状态,模糊理论习惯于分离在历史的数据库的历史的数据。在一个例子,控制风险度被选择为 P (R s ⩾2)⩽0.1,它意味着在工程是不少于 2 的风险状态的概率是不超过 0.1,风险元素 R 3 被选择分别地控制工程。三个风险元素传播矩阵能在 4 被获得的结果表演冒元素,和频率直方图和元素也被给的每风险的累积频率直方图的风险。

英文摘要:

In order to construct the data mining frame for the generic project risk research, the basic definitions of the generic project risk element were given, and then a new model of the generic project risk element was presented with the definitions. From the model, data mining method was used to acquire the risk transmission matrix from the historical databases analysis. The quantitative calculation problem among the generic project risk elements was solved. This method deals with well the risk element transmission problems with limited states. And in order to get the limited states, fuzzy theory was used to discrete the historical data in historical databases. In an example, the controlling risk degree is chosen as P(Rs ≥ 2) ≤0.1, it means that the probability of risk state which is not less than 2 in project is not more than 0.1, the risk element R3 is chosen to control the project, respectively. The result shows that three risk element transmission matrix can be acquired in 4 risk elements, and the frequency histogram and cumulative frequencyhistogram of each risk element are also given.

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