自然科学版
陕西师范大学学报(自然科学版)
人工智能专题
多源决策形式背景的属性约简
PDF下载 ()
魏玲1,4*, 王振1,4, 钱婷2,4, 万青3,4
(1 西北大学 数学学院, 陕西 西安 710127; 2 西安石油大学 理学院, 陕西 西安 710065;3 西安工程大学 理学院, 陕西 西安 710048; 4 西北大学 概念认知与智能研究中心, 陕西 西安 710127)
魏玲,女,教授,博士生导师,主要从事形式概念分析、粗糙集理论、粒计算等研究。E-mail:wl@nwu.edu.cn
摘要:
多源数据的知识发现是当今大数据时代所面临的重要课题,但在形式概念分析领域的相关研究并不多。基于此,首先提出了多源决策形式背景的概念。进而,研究了多源决策形式背景的属性约简,讨论了其与单源决策形式背景属性约简间的关系。最后,提出了多源决策形式背景的规则获取方法。
关键词:
多源决策形式背景;知识发现;属性约简;决策获取;人工智能
收稿日期:
2019-08-05
中图分类号:
O29;TP18
文献标识码:
A
文章编号:
1672-4291(2019)05-0057-07
基金项目:
国家自然科学基金(61772021,11801440);陕西省自然科学基础研究计划(2019JQ816);陕西省教育厅专项基金(19JK0380)
Doi:
The attribute reduction of multi-source formal decision contexts
WEI Ling1,4*, WANG Zhen1,4, QIAN Ting2,4, WAN Qing3,4
(1 School of Mathematics, Northwest University, Xi′an 710127,Shaanxi,China;2 College of Science, Xi′an Shiyou University, Xi′an 710065,Shaanxi,China;3 School of Science, Xi′an Polytechnic University, Xi′an 710048, Shaanxi, China;4 Institute of Concepts, Cognition and Intelligence, Northwest University, Xi′an 710127, Shaanxi, China)
Abstract:
The knowledge discovery of multi-source data has been one of the most important research spots in Big Data era, however, relevant researches in formal concept analysis are few. Based on which, multi-source formal decision context is firstly defined in this paper. Then, the granular attribute reduction of multi-source formal decision contexts is studied, and the connections with the granular attribute reduction of common formal decision contexts are also researched. Finally, the granular rules acquisition method of multi-source decision formal contexts is proposed.
KeyWords:
multi-source formal decision context; knowledge discovery; attribute reduction; rules acquisition