The Construction Subcontract Risk Analysis Based on the Information Diffusion Method

Abstract:

Abstract. The construction enterprise is one of the important management ways, and it also is main mean of controlling the project schedule, quality and cost. Although outsourcing can be good for integration of resources to realize the optimization of resources, due to the contracting enterprise and the unbalance of interest conflict between them and other factors, the risk is certain to bring. The correct evaluation to the risk is an important basis for decision-making. This paper is used by using information diffusion method to the construction risk analysis on the exploration, and analyzing the error, to proof that the information diffusion method in building construction risk analysis is of the application of the feasibility, which can make full use of the existing information. By adjusting the domain of discrete points the density of the degree so that the request reaches the required accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 105-107)
• Pages: 1016-1019
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.105-107.1016
• Online since: September 2011
• Authors: Qing Zhong Wei, Di Liu, Bang Jia Liu
• Keywords: Architecture, Information Diffusion Method, Risk Analysis, Subcontract

References

[1] Q.Song, B.Chissom. Fuzzy time series and its models[J].Fuzzy sets and System, 1993,54: 269- 277.

DOI: 10.1016/0165-0114(93)90372-o

[2] Q. Song, B. Chissom. Forecasting enrollments with fuzzy time series-part[J]. Fuzzy sets and Systems, 1993,62:1-9.

DOI: 10.1016/0165-0114(93)90355-l

[3] S. Chen. Forecasting enrollments based on fuzzy time series[J].Fuzzy sets and System, 1996, 81: 311-319.

DOI: 10.1016/0165-0114(95)00220-0

[4] S. Chen, J. Hwang. temperature prediction using fuzzy time series[J].IEEE Trans Syst Man Cybern, 2000, 30:263-275.

DOI: 10.1109/3477.836375

[5] Sun and Li. Average-Based Fuzzy time series models for forecasting Shanghai Compound Index[J].International Journal of Applied Science and Engineering,2005,3:234-244.

[6] Shy-Ming Chen, Chia-Ching Hsu.A New Method to Forecast Enrollments Using Fuzzy Time Series[J].International Journal of Applied Science and Engineering,2004.2,3:234-244.

[7] H. Yu. Weighted fuzzy time series models for TAIEX forecasting[J].Physica A, 2005, 349: 609-624.

DOI: 10.1016/j.physa.2004.11.006

[8] Li Lin.The Risk Analysis of HR Epiboly Based on the Fuzzy Integrated Evaluation[J]. Journal of Zhongnan University Graduate,2007,4:35-41(In Chinese)

[9] CHEN Shouyu, HAN Xiaojun. Engineering method of variable fuzzy set for assessment of surrounding rock stability[J].Chinese Journal of Rock Mechanics and Engineering, 2006, 25(9): 1857–1861. (In Chinese)

[10] LU Zhaozhen, WANG Jing, LU Yaping. Direct method of fuzzy pattern recognition and its application to stability classification of surrounding rocks[J].Journal of Hohai University, 1991, 19(6): 97–101. (In Chinese)