[1]张 静,鞠恒荣,杨习贝,等.柔性多粒化决策理论粗糙集模型[J].南京师范大学学报(自然科学版),2017,40(01):48.[doi:10.3969/j.issn.1001-4616.2017.01.008]
　Zhang Jing,Ju Hengrong,Yang Xibei,et al.A Flexible Multigranulation Decision-Theoretic Rough Set Model[J].Journal of Nanjing Normal University(Natural Science Edition),2017,40(01):48.[doi:10.3969/j.issn.1001-4616.2017.01.008]
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柔性多粒化决策理论粗糙集模型()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第40卷
期数:
2017年01期
页码:
48
栏目:
·数学与计算机科学·
出版日期:
2017-03-31

文章信息/Info

Title:
A Flexible Multigranulation Decision-Theoretic Rough Set Model
文章编号:
1001-4616(2017)01-0048-07
作者:
张 静1; 鞠恒荣1; 2; 杨习贝1; 郭庆军3
(1.江苏科技大学计算机科学与工程学院,江苏 镇江 212003)(2.南京大学工程管理学院,江苏 南京 210094)(3.江苏理工学院计算机工程学院,江苏 常州 213000)
Author(s):
Zhang Jing1; Ju Hengrong1; 2; Yang Xibei1; Guo Qingjun3
(1.School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China)(2.School of Management and Engineering,Nanjing University,Nanjing 210093,China)(3.School of Computer Engineering,Jiangsu University of Tec
关键词:
决策理论; 多粒化; 柔性; 粗糙集
Keywords:
decision-theoretic; multigranulation; flexible; rough set
分类号:
TP18
DOI:
10.3969/j.issn.1001-4616.2017.01.008
文献标志码:
A
摘要:
为了解决乐观多粒化决策要求宽松和悲观多粒化决策要求过于严格的不足,本文提出了一种新型的多粒化决策粗糙集模型,即柔性多粒化决策粗糙集模型,该模型引入阈值用以调节满足条件的信息粒个数,使得模型更具灵活性. 同时本文分析了该模型的相关性质并与经典模型进行了对比分析. 理论分析和实验结果同时表明,本文提出的模型是传统多粒化决策粗糙集模型在应用背景下的有力扩展.
Abstract:
As we all know,the optimistic multigranulation decision-theoretic rough set model was loose while pessimistic multigranulation decision-theoretic rough set model was strict. To solve this problem,we propose a new multigranulation decision-theoretic rough set model,which is called flexible multigranulation decision-theoretic rough set. It introduces a threshold to control the number of information granules. Such mechanism makes the model more flexible. Moreover,we also show the properties of this model and compare the model with classical multigranulation model. The results of theoretic analyses and experiment show that,the model proposed in this paper is a powerful expansion of the classical multigranulation decision-theoretic rough set in real world application.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-08-20.
基金项目:国家自然科学基金(61572242、61503160)、江苏省普通高校学术学位研究生科研创新计划项目(KYLX16_0021).
通讯联系人:张静,讲师,研究方向:数字图像处理、 粗糙集. E-mail:zj_jingjing@sina.com
更新日期/Last Update: 1900-01-01