A Decision-making Method Using Knowledge-based Machine Learning

摘要：

This paper discusses how to use knowledge in machine learning, so that decision-making with knowledgebased machine learning can be obtained. Objectives, anti-objectives and it is support of decisions are formally defined; and the knowledge base, evidence base, sample base and qualified samples for decision problem are discussed in details. This paper discusses the uncertainty in the dicision problem with a method of how to use knowledge for measuring the supports of our objectives form knowledge in our hands. Three functions, namely: the initial evaluation function, sample evaluation function, making the evaluation function are proposed.

关键词： machine learning decision-making initial evaluation function sample evaluation function decision evaluation function

作者: Qing Zhou Zhijian Huang

作者单位: The Software Institute Zhongshan University Guangzhou, Guangdong, 510275, P.R.China Information Center Shenzhen Huachengfeng Industrial Company Limited Shenzhen, Guangdong, 518057, P.R

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 616-620

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）