摘要
针对传统工程决策支持系统(EDSS)在知识获取和适用范围等方面的固有不足,提出一种将数据挖掘技术与工程决策支持技术进行集成的新机制,介绍相应的智能工程决策平台DM-EDSS的设计和实现.DM-EDSS是一个通用的工程决策支持平台,能够自动从已有的历史工程数据中提取出有价值知识(预测模型或规则),并以此为基础进行决策推理,从而辅助解决工程决策问题.案例研究的结果表明:DM-EDSS从工程数据中提取出的知识对于工程决策有着较高的参考价值,其推理预测的结果具有较高的准确度,能够满足工程实践的使用需求.
Abstract： In order to overcome the inherent shortcomings in knowledge acquisition and applicability of traditional engineering decision support systems （EDSS）, a new mechanism that integrates data mining （DM） technology with engineering decision support technologies is form for engineering decision makings named DM - EDSS is proposed and an intelligent decision support platintroduced. DM - EDSS aims to automatically extract useful knowledge （predictive models or rules） from a large amount of historical engineering data, and provide decision supports to solve new engineering problems by reasoning on the extracted knowledge. The resuits of case study show that the knowledge extracted by DM - EDSS can provide valuable suggestions for engineering decision makings, and the reasoning results are of acceptable precisions that can meet the requirements of engineering practices.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2006年第9期1518-1522,共5页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(50478015)
清华大学-香港理工大学建设工程信息技术研究中心基金资助项目
关键词
数据挖掘
决策支持系统
推理机制
工程决策
data mining
decision support system
reasoning mechanism
engineering decision making
