Rough set approach to improvement of sorting quality

被引:0
|
作者
Xu, CY [1 ]
机构
[1] Hangzhou Inst Commerce, Dept Math, Hangzhou 310035, Zhejiang, Peoples R China
关键词
sorting quality; ordinal relation; indiscernibility relation; necessary condition; algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is a problem to be solved to improve the sorting quality. If a sequence is taken as a set, then there is the RS(Rough Set) indiscernibility relation in the universe (U). And because a sequence is also of positions of its individuals, there is the partial order relation on U. Firstly, this paper combines these two relations and puts forward the necessary condition that indicates the difference of the RS discriminant indices between sequence sorted correctly and another sorted wrongly; Secondly, this paper points out that if a sequence does not meet the necessary condition, there must be some wrong permutation order in the sequence and it gives an algorithm to recognize and correct its wrong order;Lastly, a simulation example was examined and the result shows that the RS quality coefficient of approximation of classification is increased by 22 percents. Thus our work is efficient.
引用
收藏
页码:2111 / 2115
页数:5
相关论文
共 50 条
  • [1] Software quality knowledge discovery: A rough set approach
    Ramanna, S
    Peters, JF
    Ahn, T
    26TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE, PROCEEDINGS, 2002, : 1140 - 1145
  • [2] Improvement of Information Rough Communication on Rough Set
    An, QinLi
    ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 3, 2011, 106 : 303 - 307
  • [3] An extended dominance-based rough set approach to group sorting decision making
    Bi Wen-jie
    Chen Xiao-hong
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (14TH) VOLS 1-3, 2007, : 339 - 344
  • [4] A rough set enhanced fuzzy approach to quality function deployment
    Lian-Yin Zhai
    Li-Pheng Khoo
    Zhao-Wei Zhong
    The International Journal of Advanced Manufacturing Technology, 2008, 37 : 613 - 624
  • [5] A rough set enhanced fuzzy approach to quality function deployment
    Zhai, Lian-Yin
    Khoo, Li-Pheng
    Zhong, Zhao-Wei
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 37 (5-6): : 613 - 624
  • [6] A rough set enhanced fuzzy approach to quality function deployment
    Zhai, Lian-Yin
    Khoo, Li-Pheng
    Zhong, Zhao-Wei
    International Journal of Advanced Manufacturing Technology, 2008, 37 (5-6): : 613 - 624
  • [7] Fuzzy rough set and its improvement
    Miao, DQ
    Li, DG
    Fan, SD
    2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, : 217 - 220
  • [8] Boundary variable precision dominance-based rough set approach in multicriteria sorting problems
    Li, Hong
    Wang, Guoyin
    Gou, Guanglei
    Liu, Wen
    RESOURCES AND SUSTAINABLE DEVELOPMENT, PTS 1-4, 2013, 734-737 : 3102 - +
  • [9] A Dominance-based rough set approach to multi-criteria sorting decision analysis
    An, Liping
    Tong, Lingyun
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2008, : 361 - +
  • [10] Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting
    Kadzinski, Milosz
    Greco, Salvatore
    Slowinski, Roman
    INFORMATION SCIENCES, 2014, 283 : 211 - 228