摘要
本文根据智能体技术能够模拟人类思维的特点,提出利用代理服务这一人工智能形式研究并建立智能化的水文信息服务模型。在此基础上,运用粗糙集理论实现不同用户个性化信息的诊断和获取,使该模型从显示方式个性化、信息诊断个性化及去除冗余3个方面实现该防汛代理服务方式的智能性,并以黄河流域511个水文站的部分实测资料为依据对该智能信息代理服务模型进行验证。
On the basis of agent technology the intelligent service model for flood control decision-making support system is established. The rough sets theory is applied to realize the diagnosis and capture the individualized information for different users. By using this model the display and diagnosis of information and the ability of eliminating the unwanted information are intellectualized. The observation data from 511 hydrological stations are used as the database to establish the intelligent service mode of hydrological information on the Yellow River.
出处
《水利学报》
EI
CSCD
北大核心
2005年第1期100-104,共5页
Journal of Hydraulic Engineering
基金
国家"863"计划研究资助项目(2002AA113150)
国家自然基金资助项目(50279041)
关键词
智能体
代理服务
粗糙集理论
防汛决策支持系统
agent
information service
rough sets theory
flood control decision-making support system
