Key Risk Index Identification of UHV Project Construction Based on Improved Rough Set Model
Science Journal of Energy Engineering
Volume 3, Issue 4-1, July 2015, Pages: 6-13
Received: Dec. 14, 2014; Accepted: Dec. 15, 2014; Published: Dec. 27, 2014
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Sen Guo, School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
Huiru Zhao, School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
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Compared with the conventional power grid project, the UHV project construction faces more challenges and risks. Identifying the key risk indicators of UHV project construction can improve the level of project risk management and reduce risk-related loss. Taken the data missing of risk indicators into consideration, an improved rough set model for key risk indicators identification of UHV project construction is employed with the introduction of information content. Firstly, the information content of conditional attributes set and information significance of each conditional attribute are calculated; Secondly, the reduced core attribute matrix is formed; Then, the discernibility matrix is built; Finally, the final core attribute set is determined. After building the risk index system, the key risk indicators identification of a certain UHV project construction is performed. The calculation result shows that “land requisition and logging policy risk”, “project security management risk” and “land requisition, removing and crop compensation risk” are the key risk indicators.
UHV Project Construction, Key Risk Indicators, Index Identification, Improved Rough Set Model
To cite this article
Sen Guo, Huiru Zhao, Key Risk Index Identification of UHV Project Construction Based on Improved Rough Set Model, Science Journal of Energy Engineering. Special Issue: Soft Computing Techniques for Energy Engineering. Vol. 3, No. 4-1, 2015, pp. 6-13. doi: 10.11648/j.sjee.s.2015030401.12
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