Particle Swarm Optimization Based Multi-Strategies Risk Programming for Virtual Enterprise

The virtual enterprises face more risk than traditional enterprises as they are dynamic, temporary and with multi-partners. In order to control 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. In order to deal with the multi control strategies for each risk, the multi-layer strategies process mechanism and two properties are presented. To solve this model, the particle swarm optimization (PSO) algorithm is designed, which combines with the HFMFs (hyper-trapezoidal fuzzy membership functions) embedded fuzzy synthetic evaluation (FSE). Simulation shows that this method is both effective and efficient in achieving satisfied solutions for risk programming of virtual enterprises.