Research on the high-tech project risk pre-warning index optimization

Authors:
Xiaoyu Li;Mingyu Zhang
Affiliations:
Business Administration School, North China Electric Power University, Beijing, China;School of Economics and Management, Beijing Jiaotong University, Beijing, P.R. China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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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 multistatistical 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.