VPRS-Based Group Decision-Making for Risk Response in Petroleum Investment
| Autor: | Gang Xie, Shouyang Wang, Wuyi Yue |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Organizational Behavior and Human Resource Management
Information Systems and Management Operations research Computer science Strategy and Management Investment (macroeconomics) Group decision-making Knowledge extraction Work (electrical) Artificial Intelligence Risk analysis (business) Management of Technology and Innovation Rough set Project portfolio management Selection (genetic algorithm) Information Systems |
| Zdroj: | International Journal of Knowledge and Systems Science. 1:45-54 |
| ISSN: | 1947-8216 1947-8208 |
| Popis: | From the perspective of risk response in petroleum project investment, the authors use a group decision-making (GDM) approach based on a variable precision rough set (VPRS) model for risk knowledge discovery, where experts were invited to identify risk indices and evaluate risk exposure (RE) of individual projects. First, the approach of VPRS-based GDM is introduced. Next, while considering multiple risks in petroleum project investment, the authors use multi-objective programming to obtain the optimal selection of project portfolio with minimum RE, where the significance of risk indices is assigned to each of corresponding multi-objective functions as a weight. Then, a numerical example on a Chinese petroleum company’s investments in overseas projects is presented to illustrate the proposed approach, and some important issues are analyzed. Finally, conclusions are drawn and some topics for future work are suggested. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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