Uncertain Induction of Knowledge Based on Cloud Model in Complex System Simulation

被引：0
|
作者：
Wang Hongli [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON PHOTONICS, 3D-IMAGING, AND VISUALIZATION | 2011年 / 8205卷
关键词：
Artificial intelligent; Representation of knowledge; Cloud model; Uncertain Induction of Knowledge;
D O I：
10.1117/12.906112
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
On the key problem of ineffective representation of uncertain variables in complex system simulation, the semi-quantitative method of uncertain variable based on group decision and cloud model is proposed to process the uncertain data. Then the uncertain knowledge induction based on cloud model is proposed. The induction process and method is given in the paper. This method is combined with the merit of conversion and fusion quantitative and qualitative of cloud model in induction. Lastly the summary and future research is given at the end of study.
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页数：6
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