期刊文献+

模糊数决策粗糙集 被引量:9

Fuzzy Decision-theoretic Rough Sets
下载PDF
导出
摘要 考虑到实际决策问题中损失函数的不确定性特征,从贝叶斯理论出发,将模糊数损失函数引入决策粗糙集,提出模糊数决策粗糙集模型。首先,讨论在贝叶斯期望风险最小决策的语义下模糊数决策粗集理论基本模型的构建过程。其次,分析模糊数决策粗集理论的相关数学性质和准则。最后,通过一个企业信用评估问题来阐明模糊数决策粗糙集模型的应用过程。 By considering the uncertain character in practical decision procedure,the fuzzy loss functions were induced to decision-theoretic rough set theory(DTRS) based on the BayesianB decision theory.With respect to the minimum Baye-sian expected risk,a model of fuzzy decision-theoretic rough set theory(FDTRS) was built.The corresponding propositions and criteria of fuzzy decision-theoretic rough set theory were also analyzed.An example of enterprise credit assessment was given to illuminate the proposed model in applications.
出处 《计算机科学》 CSCD 北大核心 2012年第12期25-29,共5页 Computer Science
基金 国家自然科学基金(71201133 61175047) 教育部人文社科基金青年项目(11YJC630127) 中央高校基本科研业务费专项资金(SWJTU12CX117)资助
关键词 决策粗糙集理论 概率粗糙集理论 贝叶斯过程 模糊数 Decision-theoretic rough set theory Probabilistic rough set theory Bayesian decision procedure Fuzzy number
  • 相关文献

参考文献26

  • 1Abd E1-Monsef M M E, Kilany N M. Decision analysis via granu- lation based on general binary relation [J]. International Journal of Mathematics and Mathematical Sciences, 2007, Article ID: 12714.
  • 2Herbert J P, Yao J T. Game-theoretic rough sets [J]. Funda-menta Informaticae, 2011,108:267-286.
  • 3Li H X, Zhou X Z. Risk decision making based on decision-theo- retic rough set: a three-way view deeision model [J]. Interna- tional Journal of Computational Intelligence Systems, 2011, 4 (1):1-11.
  • 4Li H X, Zhou X Z, Zhao J B. Positive region-based reduction in decision-theoretic rough set model [J]. Transaction on Rough Sets.
  • 5Liu D, Li T R, Ruan D. Probabilistie model criteria with deci- sion-theoretic rough sets[J]. Information Sciences, 2011, 181 (17) : 3709-3722.
  • 6Liu D, Li T R, Li H X. A multiple-category classification ap- proach with decision-theoretic rough sets[J]. Fundamenta Infor- maticae, 2012,115(2/3) : 173-188.
  • 7Liu D,Li H X, Zhou X Z. Two decades' research on decision- theoretic rough sets [C]//Proceeding of 9th IEEE International Conference on Cognitive Informatics. 2010:968-973.
  • 8Liu D,Yao Y Y, Li T R. Three-way investment decisions with decision-theoretic rough sets [J]. International Journal of Com- putational Intelligence Systems, 2011,4(1) : 66-74.
  • 9Ma W M, Sun B Z. On relationship between probabilistic rough set and Bayesian risk decision over two universes[J]. Interna- tional Journal of General Systems, 2012,41 (3) : 225-245.
  • 10Mishra A,Mishra M,Shiv B. In praise of vagueness:malleability of vague information as a performance -booster [J]. Psychologi- cal Science,DOI, 10. 1177/0956797611407208.

二级参考文献94

  • 1吴德胜,梁樑.基于V-foldCross-validation和Elman神经网络的信用评价研究[J].系统工程理论与实践,2004,24(4):92-98. 被引量:20
  • 2柯孔林,薛锋.基于扩展数据包络判别法的商业银行信用风险评估[J].系统工程理论与实践,2004,24(4):117-122. 被引量:7
  • 3赵文清,朱永利,高伟华.一个基于决策粗糙集理论的信息过滤模型[J].计算机工程与应用,2007,43(7):185-187. 被引量:15
  • 4乔治.戴,保罗.休梅克著,石莹等译.沃顿论新兴技术管理[M].华夏出版社,2002.
  • 5Black F, Scholes M.The pricing of options and corporate liabilities [ J]. Journal of political Economics, 1973, 5 : 637 - 659.
  • 6Merton R. On the pricing of Corporate Debt: The Risk Structure of Interest Rates[ J ]. Journal of Finance, 1974, 29:449 - 470.
  • 7Caouettee JB, Ahman EL, Narayanan P. Managing credit risk: The next great financial challenge[ M]. John Wiley & Sons, 1998.
  • 8Pawlak Z. Rough sets [ J ]. International Journal of Computer Information Science, 1982, 11(5):341 - 356.
  • 9Ziarko W. Variable precision rough set model [ J ]. Journal of Computer and System Sciences, 1993, 46 : 39 - 59.
  • 10An A, Shah N, Chan C, et al. Discovering rules for water demand prediction: An enhanced rough-set approach [ J ]. Engineering Application and Artificial Intelligence, 1996, 9(6):645 - 653.

共引文献86

同被引文献53

  • 1史开泉,崔玉泉.S-粗集与它的分解还原[J].系统工程与电子技术,2005,27(4):644-651. 被引量:55
  • 2张春英,刘保相.基于SPA的不完备信息系统的双向S-粗集模型[J].计算机应用研究,2006,23(11):96-98. 被引量:3
  • 3张文修 吴伟业 梁吉业 等.粗糙集理论与方法[M].北京:科学出版社,2002..
  • 4王国胤,Rough集理论与知识获取[M].西安:西安交通大学出版社,1999.
  • 5刘清.Rough集及Rough推理[M].北京:科学出版社,2003..
  • 6曾黄麟.粗集理论及其应用[M].重庆:重庆大学出版社,1996..
  • 7周育健,王钰.RSL:基于RoughSet的表示语言[J].模式识别与人工智能,1996,9(8):570-575.
  • 8苗夺谦,王钰.知识粗糙性的信息论解释[C]//1996年中国智能自动化学术会议论文集.北京:中国科学院自动化研究所,1996:154-160.
  • 9Pawlak Z. Rough sets[J]. International Journal.of Computer and Information Science, 1982, 11: 341-356.
  • 10Yao Y Y. Decision-theoretic rough set models[J]. LNAI, 2007, 4481: 1-12.

引证文献9

二级引证文献102

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部