计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 54-56.doi: 10.11896/j.issn.1002-137X.2015.06.012

• 第十届和谐人机环境联合学术会议 • 上一篇    下一篇

序信息系统中基于粗糙集的证据获取与合成

樊兵娇,徐伟华   

  1. 重庆理工大学数学与统计学院 重庆400054,重庆理工大学数学与统计学院 重庆400054;南京理工大学高维信息智能感知与系统教育部重点实验室 南京210094
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61105041,3,61402064),重庆市自然科学基金资助

Evidence Acquirement and Combination Method Based on Rough Set in Ordered Information System

FAN Bing-jiao and XU Wei-hua   

  • Online:2018-11-14 Published:2018-11-14

摘要: 通过在决策序信息系统中引入证据理论,提出一种基于粗糙集的证据获取与合成方法。利用证据信任度计算近似条件概率分配,根据属性重要度和证据支持度计算权重,然后用合成公式对近似条件概率分配进行合成,得到决策。

关键词: 粗糙集,近似条件概率分配,序信息系统,证据理论,证据支持度

Abstract: A novel method of evidence acquirement and combination based on rough set was proposed by introducing evi-dence theory into the ordered decision information system.Confidence degrees of evidence are used to calculate approximate conditional probability assignments.Evidence weights are calculated according to the attribute significances and support degrees of evidence.Decisions are gained by using combinational rule to integrate approximate conditional pro-bability assignments.

Key words: Rough set,Approximate conditional probability assignment,Ordered information system,Evidence theory,Support degrees of evidence

[1] Yee L,Wu Wei-zhi,Zhang Wen-xiu.Knowledge acquisition in incomplete information systems:a rough set approach[J].European Journal of Operational Research,2006,168(1):164-180
[2] Liang Ji-ye.The information entropy,rough entropy and know-ledge granulation in rough set theory[J].International Journal of Uncertainty,Fuzziness and Knowledge-Based Systems,2004,12(1):37-46
[3] Greco S,Matarazzo B,Slowinski R.Rough approximation of a preference relation by dominance relation[J].European Journal of Operation Research,1999,117:63-83
[4] Greco S,Matarazzo B,Slowinski R.A new rough set approach to multicriteria and multiattribute classificatioin[C]∥Polkowsik L,Skowron A,eds.Rough Sets and Current Trends in Computing (RSCTC’98).Lecture Notes in Artificial Intelligence,Vol 1424,Berlin:Springer-Verlag,1998:60-67
[5] Greco S,Matarazzo B,Slowinski R.A new rough sets approach to evaluation of bankruptcy risk[C]∥Zopounidis X,ed.Operational Tools in the Management of Financial Risks.Dordrecht:Kluwer,1999:121-136
[6] Shao Ming-wen,Zhang Wen-xiu.Dominance relation and rules in an incomplete ordered information system[J].International Journal of Intelligent Systems,2005,20:13-27
[7] Xu Wei-hua,Zhang Wen-xiu.Measuring roughness of genera-lized rough sets induced by a covering[J].Fuzzy Sets and Systems,2007,158:2443-2455
[8] 徐伟华.序信息系统与粗糙集[M].北京:科学出版社,2013 Xu Wei-hua.Ordered Informaton System and Rough Set[M].Beijing:Science Press,2013
[9] Pawlak Z.Rough Sets:Theoretical Aspects of Reasoning About Data[M].Boston:Kluwer Academic Publishers,1991
[10] 张文修,梁怡,吴伟志.信息系统与知识发现[M].北京:科学出版社,2003 Zhang Wen-xiu,Liang Yi,Wu Wei-zhi.Information System and Knowledge Discovery[M].Beijing:Science Press,2003

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!