基于模糊粒子群优化算法的双边多议题协商模型

RESEARCH ON BILATERAL MULTI-ISSUE NEGOTIATION MODEL BASED ON FPSO

针对电子商务应用,提出了一种基于模糊粒子群优化算法的双边多议题协商模型。该模型以追求协商双方联合效用最大化为前提,通过粒子群在对手提议和自身议题理想值域之间进行快速有效搜索出最优解或近似最优解生成反提议;从而促使协商实现"双赢"。实验分析表明,该模型能有效提高协商效率。

An autonomous negotiation model based on fuzzy particle swarm optimization （FPSO） is proposed in the application of E-commerce. The model is used to pursue negotiations joint utility maximization. The win-win negotiation is achieved and the counter proposal is generated based on the optimal solution or approximate optimal solution, which is provided by the quickly and efficiently search of particle swarm optimization between rival proposal and its’ issues ideal. The experimental analysis shows that the model can effectively improves the efficiency of negotiation.