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	Data mining-based intelligent decision support platform for engineering decision makings
	Guo Jian-Feng ; Zhang Jian-Ping ; Hu Zhen-Zhong ; Shen Qi-Ping
	2010-05-11 ; 2010-05-11
关键词	Practical/ data mining decision support systems engineering computing inference mechanisms/ data mining intelligent decision support platform engineering decision making knowledge acquisition engineering decision support systems knowledge extraction predictive models historical engineering data reasoning/ C7400 Engineering computing C7102 Decision support systems C6170K Knowledge engineering techniques
中文摘要	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 proposed and an intelligent decision support platform for engineering decision makings named DM-EDSS is introduced. 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 results 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.
语种	中文 ; 中文
出版者	Harbin Inst. Technol ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/27153]
专题	清华大学
推荐引用方式 GB/T 7714	Guo Jian-Feng,Zhang Jian-Ping,Hu Zhen-Zhong,et al. Data mining-based intelligent decision support platform for engineering decision makings[J],2010, 2010.
APA	Guo Jian-Feng,Zhang Jian-Ping,Hu Zhen-Zhong,&Shen Qi-Ping.(2010).Data mining-based intelligent decision support platform for engineering decision makings..
MLA	Guo Jian-Feng,et al."Data mining-based intelligent decision support platform for engineering decision makings".(2010).

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