Title :
Research on the High-Tech Project Risk Pre-Warning Index Optimization
Author :
Li, Xiaoyu ; Zhang, Mingyu
Author_Institution :
Bus. Adm. Sch., North China Electr. Power Univ., Beijing, China
Abstract :
By introducing the rough set theory, this paper tries to determine the weight of high-tech project risk pre-warning index reasonably according to the importance of attribute, and make a cluster analysis and correction to the weight. The selection of high-tech project risk pre-warning indexes will be more scientific and reasonable, solving the optimization of high-tech project risk pre-warning index. By means of questionnaire and multi-statistical analysis, this paper makes an empirical test of hightech project´s potential risk factors, concludes 27 key risk factors that affect the high-tech project significantly, and constructs a risk pre-warning index system for the high-tech project.
Keywords :
econometrics; optimisation; project management; risk analysis; rough set theory; statistical analysis; RS theory; cluster analysis; hightech project potential risk factor; hightech project risk prewarning index optimization; multistatistical analysis; rough set theory; Control systems; Environmental economics; Environmental management; Power generation economics; Principal component analysis; Project management; Risk analysis; Risk management; Set theory; System testing;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5303392
