Research on analytic model of project chain risk elements transmission based on risk ranking method and data mining

被引：0
作者：
Li C.B. [1 ]
Dong W. [1 ]
Lin S.S. [1 ]
机构：
[1] School of Economic & Management, North china Electric Power University, Beijing
来源：
International Journal of Multimedia and Ubiquitous Engineering | 2016年 / 11卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Data mining; Project chain; Risk elements transmission; Risk ranking;
D O I：
10.14257/ijmue.2016.11.11.32
中图分类号：
学科分类号：
摘要：
Risk management in project chain or multi-project is becoming a hot spot in the field of project management, however the analysis of project chain risk elements transmission almost stays in the angle of qualitative. So, in order to study the risk transmission process in project chain, the analytic model of project chain risk element transmission was established. In the beginning, the data mining method is introduced to acquire the risk elements transmission matrix and estimate the state of the risk elements through the previous state. Then, for ranking both probabilistic type and fuzzy type risk elements, probability and fuzzy numbers were transformed to interval numbers and ranking score was calculated by a ranking method. Finally, through the computation, the key risk element of different states can be obtained, through which decision makers can adjust the distribution of resources and control the key risk element. The analysis of a case has verified the validity and practicability of this method. © 2016 SERSC.
引用
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页码：353 / 364
页数：11
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