Variable precision rough sets model based on (α, τ) limited similarity relation

被引：0
|
作者：
Gao, Yang [1 ]
Zhong, Bo [1 ]
机构：
[1] School of Business, Central South Univ., Changsha 410083, China
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2009年 / 31卷 / 07期
关键词：
Rough set theory - Information use;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In view of the classical rough sets model can only dispose the complete information system, a variable precision rough sets model is introduced to dispose the incomplete information system. Firstly, the definition of (α, τ) limited similarity relation and its some interrelated characters are presented, and a variable precision rough sets model based on (α, τ) limited similarity relation is introduced. Secondly, the knowledge reduction algorithm based on attribute significance and the quality of approximate classification is proposed. Finally, an example is given to illustrate the validity of the proposed algorithm.
引用
收藏
页码：1639 / 1641
相关论文
共 50 条
  • [21] On variable precision of generalized rough sets
    20150300424002
    (1) Department of Information Management, National Formosa University, Huwei, Yunlin; 63201, Taiwan; (2) Department of Mathematics, Central Michigan University, Mt. Pleasant; MI; 48859, United States, 1600, IEEE Computer Society; International Granular Computing Society; Kayamori Foundation on Informational Science Advancement; Support Center for Advanced Telecommunications Technology Research, Foundation (SCAT); Tateisi Science and Technology Foundation (Institute of Electrical and Electronics Engineers Inc., United States):
  • [22] An expert system for the utilisation of the variable precision rough sets model
    Beynon, MJ
    Griffiths, B
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, 2004, 3066 : 714 - 720
  • [23] Variable Precision Rough Set Model and Application Based on Grey Similarity Incidence Relationship
    Liu, Yong
    Yin, Xunian
    Cao, Bingru
    Qian, Wuyong
    JOURNAL OF GREY SYSTEM, 2017, 29 (03): : 45 - 57
  • [24] Variable Precision Rough Set Model Based on Covering Relation and Uncertainty Measure
    Wang, Meiyun
    Wang, Chao
    Tian, Dazeng
    MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4, 2013, 694-697 : 2856 - +
  • [25] Intelligent information retrieval based on the variable precision rough set model and fuzzy sets
    He, M
    Feng, BQ
    ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS, 2005, 3642 : 184 - 192
  • [26] Fuzzy variable precision rough sets based on residuated lattices
    Zhao, Xue Rong
    Hu, Bao Qing
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2015, 44 (7-8) : 743 - 765
  • [27] Aeroengine fault diagnosis based on variable precision rough sets
    Engineering Institute, Air Force Engineering University, Xi'an 710038, China
    Hangkong Dongli Xuebao, 2008, 10 (1842-1846): : 1842 - 1846
  • [28] A classification approach of granules based on variable precision rough sets
    Gu, Shen-Ming
    Wu, Wei-Zhi
    Chen, Hong-Tao
    PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2007, : 163 - +
  • [29] Application of fault detection based on Variable Precision Rough Sets
    Chen, Na
    Yang, Shaopu
    Pan, Cunzhi
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 328 - +
  • [30] An interval rough number variable precision rough sets model and its attribute reduction
    Liu, Wei
    Liu, Qihan
    Ye, Guoju
    Zhao, Dafang
    Guo, Yating
    Shi, Fangfang
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (01) : 229 - 238
12345