[1]张晓萍,李伟康,李进金.采用局部粗糙集模型的决策规则提取[J].华侨大学学报(自然科学版),2020,41(6):824-828.[doi:10.11830/ISSN.1000-5013.202002020]
　ZHANG Xiaoping,LI Weikang,LI Jinjin.Decision Rule Extraction Using Local Rough Set Model[J].Journal of Huaqiao University(Natural Science),2020,41(6):824-828.[doi:10.11830/ISSN.1000-5013.202002020]
点击复制

采用局部粗糙集模型的决策规则提取()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第6期
页码:
824-828
栏目:
出版日期:
2020-11-20

文章信息/Info

Title:
Decision Rule Extraction Using Local Rough Set Model
文章编号:
1000-5013(2020)06-0824-05
作者:
张晓萍1;  李伟康1;  李进金1; 2
1. 华侨大学 数学科学学院, 福建 泉州 362021;2. 闽南师范大学 数学与统计学院, 福建 漳州 363000
Author(s):
ZHANG Xiaoping1;  LI Weikang1;  LI Jinjin1; 2
1. School of Mathematical Sciences, Huaqiao University, Quanzhou 362021, China; 2. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000, China
关键词:
局部粗糙集;  决策规则;  经典粗糙集;  包容度
Keywords:
local rough set;  decision rule;  classical rough set;  include degree
分类号:
TP18
DOI:
10.11830/ISSN.1000-5013.202002020
文献标志码:
A
摘要:
研究基于局部粗糙集模型下的决策规则提取.对经典粗糙集的决策规则提取进行改进,给出局部粗糙集模型下的决策规则公式,并研究相关性质.结合局部粗糙集模型给出的规则提取公式,引入参数值α,α∈(0,1］,使规则提取公式的泛化能力更强,适用性更广.通过3个实例对局部粗糙集模型决策规则提取的运用进行说明.
Abstract:
We mainly study the decision rule extraction based on local rough set model. Make improvement on the rule extraction based on classical rough set, we give the decision rule formula based on the local rough set model, and find its related theorems. Parameter value α, α∈(0,1］ is introduced into the rule extraction formula based on local rough, which makes the generalization ability and applicability of the rule extraction formula stronger. Three examples are given to illustrate the application of decision rule extraction in local rough set model.

参考文献/References:

[1] PAWLAK Z.Rough sets[J].International Journal of Computer and Information Sciences,1982,11(5):341-356.DOI:10.1007/BF01001956.
[2] QIAN Yuhua,LIANG Xinyan,LIN Guoping,et al.Local multigranulation decision-theoretic rough sets[J].International Journal of Approximate Reasoning,2017,82:119-137.DOI:10.1016/j.ijar.2016.12.008.
[3] QIAN Yuhua,LIANG Xinyan,WANG Qi,et al.Local rough set: A solution to rough data analysis in big data[J].International Journal of Approximate Reasoning,2018,97:38-63.DOI:10.1016/j.ijar.2018.01.008.
[4] 张佳欢,李磊军,李美争,等.基于变精度邻域粗糙集的多标记子空间研究[J].南京理工大学学报(自然科学版),2019,43(4):414-422.DOI:10.14177/j.cnki.32-1397n.2019.43.04.006.
[5] 郑文彬,李进金,何秋红.基于属性重要度的变精度邻域粗糙集属性约简算法[J].计算机科学,2019,46(12):261-265.DOI:10.11896/jsjkx.181102184.
[6] 刘丹,徐立新,李敬伟.不完备邻域多粒度决策理论粗糙集与三支决策[J].计算机应用与软件,2019,36(5):145-157.DOI:10.3969/j.issn.1000-386x.2019.05.026.
[7] ZIARKO W.Variable precision rough set model[J].Journal of Computer and System Sciences,1993,46(1):39-59.DOI:10.1016/0022-0000(93)90048-2.
[8] 张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2001.
[9] 陈应生,李进金.决策信息系统协调性的关系矩阵表示[J].华侨大学学报(自然科学版),2019,40(6):823-829.DOI:10.11830/ISSN.1000-5013.201810106.
[10] SHE Yanhong,HE Xiaoli.On the structure of the multigranulation rough set model[J].Knowledge-Based Systems,2012,36(1):81-92.DOI:10.1016/j.knosys.2012.05.019.
[11] XU Jianfeng,MIAO Duoqian,ZHANG Yuanjian,et al.A three-way decisions model with probabilistic rough sets for stream computing[J].International Journal of Approximate Reasoning,2017,88:1-22.DOI:10.1016/j.ijar.2017.05.001.
[12] LIU Dun,LI Tianrui,LIANG Decui.Incorporating logistic regression to decision-theoretic rough sets for classifications[J].International Journal of Approximate Reasoning,2014,55:197-210.DOI:10.1016/j.ijar.2013.02.013.
[13] LI Jinhai,MEI Changlin,LYU Yuejin.Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction[J].International Journal of Approximate Reasoning,2013,54:149-165.DOI:10.1016/j.ijar.2012.07.005.
[14] WU Weizhi,QIAN Yuhua,LI Tongjun,et al.On rule acquisition in incomplete multi-scale decision tables[J].Information Sciences,2017,378(1):282-302.DOI:10.1016/j.ins.2016.03.041.
[15] WU Weizhi,LEUNG Y.Optimal scale selection for multi-scale decision tables[J].International Journal of Approximate Reasoning,2013,54:1107-1129.DOI:10.1016/j.ijar.2013.03.017.
[16] WU Weizhi,LEUNG Y.Theory and applications of granular labelled partitions in multi-scale decision tables[J].Information Sciences,2011,181(18):3878-3897.DOI:10.1016/j.ins.2011.04.047.
　　

备注/Memo

备注/Memo:
收稿日期: 2020-02-20
通信作者: 李进金(1960-),男,教授,博士,博士生导师,主要从事拓扑学和不确定性理论的研究.E-mail:jinjinli@mnnu.edu.cn.
基金项目: 国家自然科学基金资助项目(11871259, 61379021, 11701258)
更新日期/Last Update: 2020-11-20