三支决策在工业大数据中的应用  

Industrial big data applications based on three-way decisions

作　　者：于洪[1] 杨雪梅[1] YU Hong;YANG Xuemei(Chongqing Key Laboratory of Computational Intelligence,ChongqingUniversity of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学计算智能重庆市重点实验室,重庆400065

出　　处：《西北大学学报（自然科学版）》2021年第4期505-515,共11页Journal of Northwest University（Natural Science Edition）

基　　金：国家自然科学基金面上项目(61876027)。

摘　　要：当前,我国正处于工业化和信息化的深度融合时期,发展基于工业大数据的人工智能新技术是实现从制造大国向制造强国迈进的战略举措。三支决策是一种符合人类认知的智能信息处理模式,文中提出结合三支决策的思想来解决工业大数据中的一些问题。首先,归纳总结了工业大数据新的特点,分析了工业大数据智能决策面临的挑战;然后,对三支决策在工业大数据的应用进行了举例阐述;最后,探讨了未来的研究方向。At present,our country is in a period of deep integration of industrialization and informatization.It is necessary to develop new artificial intelligence technology for industrial big data,in order to upgrade China from a manufacturer of quantity to that of quality.The theory of three-way decisions is just such an intelligent information processing method that is consistent with human cognition.Therefore,this paper proposes the idea of combining three-way decisions to solve some problems in industrial big data.The characteristics of industrial big data are summarized in this paper,and the challenges are presented.Some applications of three-way decisions in industrial big data are reviewed,and the potential research topics are pointed out.

关 键 词：三支决策 工业大数据 认知 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]