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您的检索式：作者名="Lin Shaopei"
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| 1 | Fuzzy Risk Analysis of Harbour Engineering Investment by Hierarchy System Approach显示文摘The present risk analysis model of engineering investment is built by fuzzy hierarchy approach under the assumption of maximizing the revenues of the project during its whole life cycle of operation. It can reasonably be expressed by a system evaluation analysis. As a matter of fact, the system, aimed by its system goal can be modelled by a set of factors, constitutively structured by certain links between them, to form a factorial network chart, which represents the essentials of the system behaviours, the nodes of which represent the factors concerned. The weight distribution between factors located at the same level can be determined by the eigen-value problem of a 'pair comparison' relation matrix. The weight distribution of factors at each level is successively manipulated until the fuzzy synthetic risk assessment. As an example of risk analysis of engineering investment, a harbour construction project is presented for illustration. | Lin Shaopei and Zhang Zhongming Professor, Civil and Architectural Engineering Dept., Shanghai Jiao Tong University, Shanghai Lecturer, Civil and Architectural Engineering Dept., Shanghai Jiao Tong University, Shanghai | 1992 | China Ocean Engineering1992，7，1： | 6 |
| 2 | FUZZY ECONOMIC ASSESSMENT FOR OFFSHORE OIL FIELDS显示文摘It is understood that economic assessment is a key issue in the development of offshore oil field. In view of uncertainties in exploration, engineering investment etc. the capital investment will take serious risk, especially for small marginal blocks. In order to investigate the relationships between main economic indices and uncertain factors, the upper and lower fuzzy bounds as well as the tolerance are presented in this paper based on the concept of fuzzy mathematics. Quantizing those uncertainties of concerned factors, the risk of investment can then be identified through conventional cash flow table and sensitivity analysis, consequently, the risk can be reduced through careful handling of the uncertainties. As an example, the economic analysis of a reusable platform in a marginal offshore oil field is presented, which shows the process of fuzzy assessment in exposing severe marginality of the field and the performance of discounted cash flow rate of return by the fluctuation of uncertainties. | Lin, Shaopei Sun, Qiliang Yang, Xiaofeng | 1990 | China Ocean Engineering1990，5，1： | 2 |
| 3 | On paradox of Fuzzy AI Modeling: supervised learning for rectifying fuzzy membership functions 显示文摘 | Lin Shaopei | 2005 | Artificial Intelligence Review2005，23，4： | 1 |
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