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针对Agent联盟能力评价问题进行研究,提出了基于粗糙集理论的属性约简法,并将其应用到联盟能力评价指标的约简中,得到新的、精简的指标体系,从而削减了评价问题的工作量,提高了评价问题的工作效率.运用基于欧氏距离的Topsis法对约简后的指标进行综合评价,并与其他方法结果进行比较,所得结果科学合理,并有较高的区分度.研究为系统中的最佳Agent联盟的选择提供科学、合理的决策支持.
Aiming at the problem of agent alliance capability evaluation, the attribute reduction method based on rough set theory is proposed and applied to the reduction of alliance capability evaluation index, and a new and simplified index system is obtained, which reduces the problem of evaluation Workload and improve the efficiency of the evaluation problems.Using Topsis method based on the Euclidean distance to conduct a comprehensive evaluation of the indicators after reduction, and compared with the results of other methods, the results obtained are scientific and reasonable, and have a higher degree of differentiation. The research provides scientific and reasonable decision support for the choice of the best Agent alliance in the system.