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基于优势关系粗糙集的动态容错分级决策模型

苟光磊 王国胤 李鸿

苟光磊, 王国胤, 李鸿. 基于优势关系粗糙集的动态容错分级决策模型[J]. 西南交通大学学报, 2014, 27(1): 147-152. doi: 10.3969/j.issn.0258-2724.2014.01.023
引用本文: 苟光磊, 王国胤, 李鸿. 基于优势关系粗糙集的动态容错分级决策模型[J]. 西南交通大学学报, 2014, 27(1): 147-152. doi: 10.3969/j.issn.0258-2724.2014.01.023
GOU Guanglei, WANG Guoyin, LI Hong. Sorting Decision Model for Dynamic Fault Tolerance Based on Dominance Relation Rough Set[J]. Journal of Southwest Jiaotong University, 2014, 27(1): 147-152. doi: 10.3969/j.issn.0258-2724.2014.01.023
Citation: GOU Guanglei, WANG Guoyin, LI Hong. Sorting Decision Model for Dynamic Fault Tolerance Based on Dominance Relation Rough Set[J]. Journal of Southwest Jiaotong University, 2014, 27(1): 147-152. doi: 10.3969/j.issn.0258-2724.2014.01.023

基于优势关系粗糙集的动态容错分级决策模型

doi: 10.3969/j.issn.0258-2724.2014.01.023
基金项目: 

国家自然科学基金资助项目(61073146)

重庆市自然科学基金资助项目(cstc2012jjA40032)

详细信息
    通讯作者:

    王国胤(1970-),男,教授,研究方向为粗糙集理论和智能信息处理,E-mail:wanggy@cqupt.edu.cn

Sorting Decision Model for Dynamic Fault Tolerance Based on Dominance Relation Rough Set

  • 摘要: 为提高优势关系粗糙集模型在分级决策问题中的容错能力,将容错处理视为可动态调整的过程,根据用户向上、向下和综合两者的3种偏好趋向,提出了3种对应的分级算法,对边界域对象进行初始分级,利用对象的覆盖信息作为启发式知识调整其分级决策的结果,实现正确分级或接近正确分级.与变一致性优势关系粗糙集模型相比,不需要事先根据经验确定和调整阈值.案例应用结果表明:本文提出的3种偏好情况下的分级正确率比现有的分级算法平均提高了21.34%,对应的误分总代价平均降低了50.91%.

     

  • ZOPOUNIDIS C, DOUMPOS M. Multicriteria classification and sorting methods: a literature review[J]. European Journal of Operational Research, 2002, 138 (2): 229-246.
    安利平, 陈增强. 基于二元关系和布尔推理的分级决策模型[J]. 系统工程学报, 2009, 24(6): 701-709. AN Liping, CHEN Zengqiang. Sorting decision model based on binary relations and Boolean reasoning[J]. Journal of System Engineering, 2009, 24(6): 701-709.
    CHEN Shuwei, LIU Jun, WANG Hui, et al. Ordering based decision making—a survey[J]. Information Fusion, 2013, 14(4): 521-531.
    HU Qinghua, GUO Maozu, YU Daren, et al. Information entropy for ordinal classification[J]. Science China Information Sciences, 2010, 53(6): 1188-1200.
    COSTA J F P, ALONSO H, CARDOSO J S. The unimodal model for the classification of ordinal data[J]. Neural Networks, 2008, 21(1): 78-91.
    PENG Yi, KOU Gang, WANG Guoxun, et al. FAMCDM: a fusion approach of MCDM methods to rank multiclass classification algorithms[J]. Omega, 2011, 39(6): 677-689.
    DEMBCZYNSKI K, KOTLOWSKI W, SLOWINSKI R. Ordinal classification with decision rules, mining complex data[M]. Berlin: Springer-Verlag, 2008: 169-181.
    XIA Fen, ZHANG Wensheng, LI Fuxin, et al. Ranking with decision tree[J]. Knowledge and Information Systems, 2008, 17(3): 381-395.
    GRECO S, MATARAZZO B, SLOWINSKI R. Rough sets theory for multicriteria decision analysis[J]. European Journal of Operational Research, 2001, 129(1): 1-47.
    GRECO S, MATARAZZO B, SLOWINSKI R. Rough approximation by dominance relations[J]. International Journal of Intelligent Systems, 2002, 17(2): 153-171.
    GRECO S, MATARAZZO B, SLOWINSKI R. Rough sets methodology for sorting problems in presence of multiple attributes and criteria[J]. European Journal of Operational Research, 2002, 138: 247-259.
    CHAKHAR S, SAAD I. Dominance-based rough set approach for groups in multicriteria classification problems[J]. Decision Support Systems, 2012, 54(1): 372-380.
    GRECO S, MATARAZZO B, SLOWINSKI R, et al. Variable consistency model of dominance-based rough sets approach[C]//Rough Sets and Current Trends in Computing. Berlin: Springer-Verlag, 2001: 170-181.
    HU Qinghua, YU Daren. Variable precision dominance based rough set model and reduction algorithm for preference-ordered data[C]//Proceedings of the Third International Conference on Machine Learning and Cybernetics. Shanghai:[s.n.], 2004: 26-29.
    INUIGUCHI M, YOSHIOKA Y, KUSUNOKI Y. Variable-precision dominance-based rough set approach and attribute reduction[J]. International Journal of Approximate Reasoning, 2009, 50(8): 1199-1214.
    DENG W B, WANG G Y, HU Feng. An improved variable precision model of dominance-based rough set approach[C]//Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Berlin: Springer-Verlag, 2011: 60-67.
    FRANK A, ASUNCION, A. UCI Machine Learning Repository[DB/OL].[2012-12-28]. http:[C]//archive.ics.uci.edu/ml/citation_policy.html.
    BLASZCZYNSKI J, GRECO S, MATARAZZO B, et al. jMAF-dominance-based rough set data analysis framework[M]. Berlin: Springer-Verlag, 2013: 185-209.
    WITTEN H I, FRANK E, HALL M A. Data mining: practical machine learning tools and techniques[M].[S.l.]: Morgan Kaufmann, 2011: 85-145.
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出版历程
  • 收稿日期:  2012-12-30
  • 刊出日期:  2014-01-25

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