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

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WICOM.2009.5303392

Filename

5303392