Research On The Theory And Methods Of Project Management In Construction-agent System For Government Investor

The government investment projects have important economic and social repercussions in China. The substantive capital was invested in governmental investment projects by country, such as infrastructure and other public works, amounting to numerous billions every year. However, it is general that the performance of some government projects is unsatisfied because of"body devoid", cost-over-run, poor quality and peculation, and so on.It has attracted worldwide attention that how to improve the investment returns and construction efficiency of government projects in recent years. According to the spirit of investment system reform, construction-agent system should be proposed in non-commercial government investment projects. In construction-agent system project, the efficiency of the project construction is improved and investment returns is achieved by separating the function of industry management from project management of government, separating the ownership from the management right of projects.To realize these objectives, the focus of government should be transferred and the management should be re-positioned accurately during the implementing the construction-agent system. The objective of this article is to estabilish a series of management methods for government investors in construction-agent projects. Theory, methods and related issues were studied from the point of government. Credit analysis of project management enterprises, government purchasing of construction-agent projects, risk analysis of government investment, intelligent forecasting of construction-agent projects investment, public regulation of construction-agent market and project performance evaluation of construction-agent manager were studied in this article.The right, obligation, the management of government and agent were defined and the primary flow of the construction-agent projects was made.The credit evaluation hybrid model based on the data mining technique and SVMs was established. The dimension was descended effectively by the way of PCA. Moreover, the sources of the credit attributes were acquired based on ICA. What is more, the credit risk mitigation methods, such as performance guarantee, professional liability insurance, guarantee insurance and so on, were proposed.The choice mechanism of trustor and the game of incomplete information in the bidding process of project management were analyzed. The bids game model of tenders, the hybrid strategy model of tender and the bidder were set up and the best strategy of bidders who have different background was found. The comprehensive evaluation model of project management bids was proposed based on the fuzzy clustering and grey association analysis,The limitation of Monte Carlo simulation technology was pointed out on the basis of researching on the construction-agent project's non-gauss variation features, and the construction investment risk evaluation models were established respectively based on Markov theory, clustering analysis and gradient algorithm.The reconstruction model of construction-agent projects based on the higher decorrelation is established, higher decorrelation and data redundancy among construction investment attributes were realized by introducing independent component. The intelligent forecasting model of construction investment is established based on ICA and ANN technology. The forecasting model of construction investment was established for the nonlinear construction-agent projects in the condition of small sample.The analysis for phenomenon of market failure, government endogenousness, exogenousness and system failure in the market of construction-agent projects were analyzed. The contents and methods of construction-agent projects also were discussed. The character analysis of agency about construction-agent projects was made, the supervision models of agency contracts and engineering contracts about construction-agent projects, the collusion and prevention model between management companies of projects and contractors were established.The index system of agents'project management performance was established, a comprehensive evaluating model was set up based on fuzzy recognition theory.