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基于权重优势关系的粗糙近似模型

Rough Approximation Model Based on Weight Dominance Relation
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摘要 在不完备信息系统中,为了解决不完全的偏好决策问题,相关学者提出了多种优势关系及其相应的粗糙集模型。但在实际情况中,各条件属性对决策属性的影响程度是有差异的。文章提出一种基于权重的优势关系及其粗糙集近似模型,以及基于粗糙集的权重设定方法和阈值的设定方法。通过对比分析,权重优势关系比广义扩展优势关系更符合实际情况。并用实例证明了权重优势关系及其粗糙近似模型的实用性和有效性。 Some scholars have proposed a lot of dominance relations and corresponding rough models under the incomplete information system in order to deal with the problem of preference decision which has incomplete information. But in practice, the degree of impact each condition attribute effects on decision attributes is different. Therefore this paper presents a dominance rela- tion based on weight and its rough approximation model, and a method of setting the weight of condition attributes based on rough set and setting the threshold value as well. Comparative analysis shows that the weight dominance relation fits the realistic situa- tion better than generalized extended dominance relation. The paper also employs examples to prove the practicality and effective- ness of the weight dominance relation and its rough approximation model.
作者 丁磊 胡明礼
出处 《统计与决策》 CSSCI 北大核心 2017年第13期24-28,共5页 Statistics & Decision
基金 国家自然科学基金资助项目(90924022 71171112) 教育部人文社会科学基金资助项目(10YJC630084) 中国博士后科学基金资助项目(2013M531356) 中央高校基本科研业务费专项科研项目(NS2011018 NN2012016 NJ20130020 NS2014085 NP20150037) 江苏省基础研究计划(自然科学基金)青年基金项目(BK20130786) 江苏省博士后科研资助计划项目(1301106C)
关键词 决策分析 粗糙集 权重优势关系 广义扩展优势关系 decision analysis rough sets weight dominance relation generalized extended dominance relation
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  • 1胡明礼,刘思峰.基于有限扩展优势关系的粗糙决策分析方法[J].系统工程,2006,24(4):106-110. 被引量:14
  • 2Greco, S. , Matarazzo, B. , Slowinski, R.. Rough sets theory for multicriteria decision analysis [J]. European Journal of Operational Research, 2001,129(1) : 1-47.
  • 3Greco, S. , Matarazzo, B. , Slowinski, R.. Generalizing rough set theory through dominance-based rough set approach[C]. 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Heidelberg : Springer-Verlag, 2005 : 1 - 11.
  • 4Greco, S. , Matarazzo, B. , Slowinski, R.. Dominancebased rough set approach to case-based reasoning[C]. 3th International Conference on Modeling Decisions for Artificial Intelligence, Heidelberg: Springer-Verlag, 2006: 7- 18.
  • 5Shao M. W. , Zhang, W. X.. Dominance relation and rules in an incomplete ordered information system[J]. International Journal of Intelligent Systems, 2005,20: 13 -27.
  • 6Yang, X. B. ,Yang, J. Y. , Wu, C. , et al. Dominancebased rough set approach and knowledge reductions in incomplete ordered information system[J]. Information Sciences, 2008,178:1219-1234.
  • 7Greco, S., Inuiguchi, M., Slowinski, R.. Fuzzy rough setsand multiple-premise gradual decision rules [J]. International Janrual of Approximate Reasoning, 2006, 41(2): 179-211.
  • 8Bryan N, Mobolurin A. An action learning evaluation procedure for multiple criteria decision making problems[J]. European Journal of Operational Research, 1995, 96: 379-386.
  • 9Yoon K. The propagation of errors in multiple-attribute decision analysis: A practical approach[J]. Journal of the Operational Research Society, 1989, 40(7): 681-686.
  • 10Greco S, Matarazzo B, Slowinski R. Extension of the rough set approach to multicriteria decision support[J]. European Journal of Operational Research, 2000, 38(3): 161-195.

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