全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

序决策信息系统中区间决策规则的获取

DOI: 10.13195/j.kzyjc.2013.0359, PP. 1611-1616

Keywords: 粗糙集,优势关系,决策规则,约简,区分函数

Full-Text   Cite this paper   Add to My Lib

Abstract:

在序决策信息系统中,定义区间为支配一个特定的对象同时又被另一个特定的对象所支配的所有对象的集合.以区间为基本知识颗粒,建立新的优势关系粗糙集模型,并由此获取决策值为特定区间范围的区间决策规则.提出区间的约简的概念,构造区分函数计算区间的约简,并由此计算优化区间决策规则.该方法比初始的优势关系粗糙集方法适应性更强,且所得区间决策规则可直接应用于序信息系统的分类问题.

References

[1]  Pawlak Z. Rough sets[J]. Int J of Computer and Information Sciences, 1982, 11: 341-356.
[2]  Pawlak Z. Rough sets: Theoretical aspects of reasoning about data[M]. London: Kluwer Academic Publishers, 1991.
[3]  Pawlak Z, Skowron A. Rough sets and Boolean reasoning[J]. Information Sciences, 2007, 177: 41-73.
[4]  Kryszkiewicz M. Rough set approach to incomplete information systems[J]. Information Sciences, 1998, 112: 39-49.
[5]  Leung Y, Li D Y. Maximal consistent block technique for rule acquisition in incomplete information system[J]. Information Sciences, 2003, 153: 85-106.
[6]  Guan Y Y, Wang H K. Set-valued information systems[J]. Information Sciences, 2006, 176: 2507-2525.
[7]  Guan Y Y, Wang H K, Wang Y, et al. Attribute reduction and optimal decision rules acquisition for continuous valued information systems[J]. Information Sciences, 2009, 179: 2974-2984.
[8]  Du Y, Hu Q H, Zhu P F, et al. Rule learning for classification based on neighborhood covering reduction[J]. Information Sciences, 2011, 181: 5457-5467.
[9]  Hu Q H, Yu D, Xie Z X. Neighborhood classifiers[J]. Expert Systems with Applications, 2008, 34: 866-876.
[10]  Greco S, Matarazzo B, Slowinski R. A new rough set approach to evaluation of bankruptcy risk[C]. Operational Tools in the Management of Financial Risks. Dordrecht: Kluwer Academic Publishers, 1998: 121-136.
[11]  Greco S, Matarazzo B, Slowinski R. Rough sets theory for multicriteria decision analysis[J]. European J of Operational Research, 2001, 129: 1-47.
[12]  Greco S, Matarazzo B, Slowinski R. Rough approximation by dominance relation[J]. Int J of Intelligent Systems, 2002, 17: 153-171.
[13]  Greco S, Matarazzo B, Slowinski R. Rough sets methodology for sorting problems in presence of multiple attributes and criteria [J]. European J of Operational Research, 2002, 138: 247-259.
[14]  Shao M W, Zhang W X. Dominance relation and rules in an incomplete ordered information system[J]. Int J of Intelligent Systems, 2005, 20: 13-27.
[15]  Yang X B, Yang J Y, Wu C, et al. Dominance-based rough set approach and knowledge reduct in incomplete ordered information system [J]. Information Sciences, 2008, 178: 1219-1234.
[16]  Yang X B, Xie J, Song X N, et al. Credible rules in incomplete decision system based on descriptors[J]. Knowledge-Based Systems, 2009, 22: 8-17.
[17]  Qian Y H, Dang C Y, Liang J Y, et al. Set-valued ordered information systems[J]. Information Sciences, 2009, 179: 2809-2832.
[18]  Qian Y H, Liang J Y, Dang C Y. Interval ordered information systems [J]. Computers and Mathematics with Applications, 2008, 56: 1994-2009.
[19]  Yang X B, Yu D J, Yang J T, et al. Dominance-based rough set approach to incomplete interval-valued information system[J]. Data & Knowledge Engineering, 2009, 68(11): 1331-1347.
[20]  Huang B. Graded dominance interval-based fuzzy objective information systems[J]. Knowledge-Based Systems, 2011, 24: 1004-1012.
[21]  Huang B, Li H X, Wei D K. Dominance-based rough set model in intuitionistic fuzzy information systems[J]. Knowledge-Based Systems, 2012, 28: 115-123.
[22]  Huang B, Wei D K, Li H X, et al. Using a rough set model to extract rules in dominance-based interval-valued intuitionistic fuzzy information systems[J]. Information Sciences, 2013, 221: 215-229.
[23]  B?aszczynski J, Greco S, S?owinski R. Multi-criteria classification-A new scheme for application of dominancebased decision rules [J]. European J of Operational Research, 2007, 181: 1030-1044.
[24]  B?aszczynski J, Greco S, S?owinski R. Inductive discovery of laws using monotonic rules [J]. Engineering Applications of Artificial Intelligence, 2012, 25: 284-294.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133