论文部分内容阅读
提出了一种基于数据挖掘和多智能体的分布式协同定性定量综合集成模型 ,该模型利用了定性定量综合集成思想 ,用于提高定性推理实际性能 ,并结合数据挖掘技术、分布式智能 ,有效地提高了现有定性推理系统的性能 ,为现有的定性推理系统的进一步发展奠定了基础。
A distributed and qualitative and quantitative integrated integration model based on data mining and multi-agent is proposed. This model uses the idea of qualitative and quantitative synthesis and integration to improve the actual performance of qualitative reasoning. In combination with data mining, distributed intelligence and effective Improve the performance of the existing qualitative reasoning system and lay a foundation for the further development of the existing qualitative reasoning system.