Multi-strategies risk programming for virtual enterprise based on ant colony algorithm

The risks of virtual enterprises exist almost everywhere for they are dynamic, temporary and multi-partners. In order to restrict the risk to the acceptable level, the Multi Strategies Multi Choices (MSMC) risk programming model is proposed in this paper considering the fuzzy characteristics and project organization mode of virtual enterprises. There are many control strategies can be selected for each risk to reduce the global risk level of project in this model. In addition, the multi-layer strategies process mechanism and two properties, are presented in this paper. To solve this model, the ant colony algorithm is designed, which combines with the Fuzzy Synthetic Evaluation (FSE) embed HFMFs (Hyper-trapezoidal Fuzzy Membership Functions) evaluation. Simulation has shown that this method is both effective and efficient in achieving satisfied solutions for risk programming of virtual enterprises.