Rough approximation model based on grey dominance relation

被引:0
作者
Hu, Ming-li [1 ]
Ding, Lei [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Jiangsu, Peoples R China
来源
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2016年
关键词
incomplete information system; rough sets; grey dominance relation; SETS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Some scholars have already proposed a lot of dominance relation and its corresponding rough model under incomplete information system in order to deal with the problem of preference decision which has incomplete information. In the incomplete information system no matter use any dominance relation to construct a rough set model the result is uncertain. In order to reduce the misclassification caused by uncertainty, this paper put forward the concept of grey dominance relation and its rough model. Firstly the analyses of the sectors which cause the uncertainty of classification are presented in this paper. Secondly the concepts of difference coefficient and grey dominance relation are definite. Besides, rough approximation model based on grey dominance relation is constructed. Finally, through the example new model proves to have better classification performance.
引用
收藏
页码:2033 / 2037
页数:5
相关论文
共 12 条
  • [1] 基于置信优势关系的粗糙集近似模型
    苟光磊
    王国胤
    利节
    吴迪
    [J]. 控制与决策 , 2014, (07) : 1325 - 1329
  • [2] Greco S, 2006, LECT NOTES ARTIF INT, V3885, P7
  • [3] Greco S, 2005, LECT NOTES ARTIF INT, V3642, P1, DOI 10.1007/11548706_1
  • [4] Rough sets theory for multicriteria decision analysis
    Greco, S
    Matarazzo, B
    Slowinski, R
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 129 (01) : 1 - 47
  • [5] Hu Ming-li, 2007, Control and Decision, V22, P1347
  • [6] [胡明礼 HU Mingli], 2006, [系统工程, Systems Engineering], V24, P106
  • [7] Jian Li-rong, 2013, Control and Decision, V28, P721
  • [8] Liu Sifeng, 2007, 2007 IEEE INT C GREY
  • [9] [骆公志 LUO Gong-zhi], 2009, [中国管理科学, Chinese Journal of Management Science], V17, P127
  • [10] Rudiments of rough sets
    Pawlak, Zdzislaw
    Skowron, Andrzej
    [J]. INFORMATION SCIENCES, 2007, 177 (01) : 3 - 27