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...

Rough集理论发展现状与应用前景

Keywords: Rough集,知识发现,智能信息处理

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了解决复杂系统的不确定性信息处理问题,介绍了Rough集理论的基本概念和研究状况.对Rough集模型推广、约简算法研究等进行了讨论;并对Rough集理论在机器学习、决策分析、知识发现等领域中的应用状况进行了论述,同时提出了Rough集理论在知识获取和并行计算领域中的发展前景和Rough逻辑控制、Rough信息处理等研究方向.

References

[1]  PAWLAK Z. Rough sets[J]. Information and Computer Science, 1982, 11(5): 341-356.
[2]  PAWLAK Z. Rough Sets-Theoretical Aspects of Reasoning About Data[M]. London: Kluwer Academic Publishing Company, 1991.
[3]  胡可云,王志海.徐本柱.基于Rough Set的知识发现系统[J].合肥工业大学学报,1998,21(1):71-74. HU Ke-yun, WANG Zhi-hai, XU Ben-zhu. Knowledge discovery system based on rough set[J]. Journal of Hefei University of Technology, 1998, 21(1): 71-74. (in Chinese)
[4]  PAWLAK Z, GRZYMALA-BUSSE J W, SLOWINSKI R. Rough sets[J]. Communications of the ACM, 1995, 38(11): 89-95.
[5]  王国胤.Rough集理论与知识获取[M].西安:西安交通大学出版社,2001. WANG Guo-yin. Rough Set Theory and Knowledge Acquisition[M]. Xi'an: Xi'an Jiaotong University Publishing House, 2001. (in Chinese)
[6]  GRZYMALA-BUSSE J W. Knowledge acquisition under uncertainty-A rough set approach[J]. J Intel Rob Syst, 1998, 1: 3-16.
[7]  CHMIELEW M R, GRZYMALA-BUSSE J W. Global discretization of continuous attributes as preprocessing for machine learning[J]. International Journal of Approximate Reasoning, 1996, 15: 319-331.
[8]  CHAN C C. A rough set approach to attribute generalization in data mining[J]. Journal of Information Sciences, 1998, 10 (7): 169-176.
[9]  SKOWRON A, GRZYMALA-BUSSE J W. From Rough Set Theory to Evidence Theory[M]. New York: Wiley, 1994. 193-236.
[10]  吴明芬.粗糙集理论的研究现状与前景[J].五邑大学学报,2002,16(2):16-21. WU Ming-fen. Research actualities and future on rough set theory[J]. Journal of Wuyi Unirersity, 2002, 16(2): 16-21. (in Chinese)
[11]  KRETOWSKI M, STEPANIUK J. Selection of Objects and Attributes: A Tolerance Rough Set Approach[R]. Warsaw: Warsaw University of Technology, 1995. 54-95.
[12]  张文修.吴伟志.基于随机集的粗糙集模型[J].西安交通大学学报,2000,34(12):15-19. ZHANG Wen-xiu, WU Wei-zhi. Model of rough set based on random set[J]. Journal of Xi'an Jiaotong University, 2000, 34(12): 15-19. (in Chinese)
[13]  BANERJEE M, PAL S K. Roughness of a fuzzy set[J]. Information Sciences, 1996, 93: 235-246.
[14]  STARZYK J, NELSON D E, STURTZ K. Reduct generation in information system[J]. Bulletin of International Rough Set Society, 1993, 3(1): 19-22.
[15]  BAZAN J G, SKOWRON A, SYNAK P. Dynamic reducts as a tool for extracting laws from decision tables[A]. Methodologies for Intelligent Systems[M]. Berlin: Springer-Verlag, 1994.
[16]  ANDERS T B. Time series and rough sets[D]: [dissertation]. Trondheim: The Norwegian Institute of Technology of the University of Trondheim, 1996.
[17]  SLOWINSKI K. Rough classification of HSV patients[ A]. Intelligent Decision Support Handbook of Advances and Applications of the Rough Set Theory[M]. London: Kluwer Academic Pubilshing Company, 1992. 363-372.
[18]  KRYSINSKI J. Rough set approach to the analysis of the structure activity relationship of quaternary imidazolium com-pounds[J]. Drug Research, 1990, 40(7): 795-799.
[19]  NOWICKI R. Evaluation of vibroacoustic diagnostic symptoms by means of the rough set theory[J]. Comput Ind, 1992, 20: 141-152.
[20]  SLOWINSKI R, ZOPOUNIDIS C. Rough Set Sorting of Firms According to Bankruptcy Risk[M]. London: Kluwer Academic Publishing Company, 1994. 339-357.
[21]  ZIARKO W. Rough sets, fuzzy sets and knowledge discovery[A]. Proceedings of RSKD94 Workshop[C]. Berlin: Springer-Verlag, 1994.
[22]  ZIARKO W, GOLAN R, EDWARDS D. An application of datalogic knowledge discovery tool to identify strong predictive rules in stock market data[A]. Proceedings of AAAI Workshop on Knowledge Discovery in Databases[C]. California: Press of American Association for Artificial Intelligence, 1993. 89-101.
[23]  LINGRAS P J, YAO Y Y. Data mining using extensions of the rough set model[J]. Journal of the American Society for Information Science, 1998, 49(5): 415-422.
[24]  PAWLAK Z, SLOWINSKI R. Rough set approach to multi-attribute decision analysis[J]. Invited Review, Eur J of Oper Res, 1994, 72: 443-459.
[25]  王志海,胡可云,胡学纲.基于粗糙集合理论的知识发现综述[J].模式识别与人工智能,1998,11(2):176-183. WANG Zhi-hai, HU Ke-yun, HU Xue-gang. Summarization of knowledge discovery based on rough set[J]. Pattern Recognition and Artifical Intelligence, 1998, 11(2): 176-183. (in Chinese)
[26]  MCSHERRY D. Knowledge discovery by inspection[J]. Decision Support Systems, 1997, 21: 43-47.
[27]  PAWLAK Z. Rough set approach to knowledge-based decision support [J]. European Journal of Operational Research, 1997, 99: 48-57.
[28]  YAO Y Y. Relation interpretation of neighborhood operators and rough set approximation[J]. Information Science, 1998, 111: 239-259.
[29]  NANDA S, MAJUMDAR S. Fuzzy rough set[J]. Fuzzy Sets and Systems, 1992, 45: 157-160.
[30]  DUBOIS D, PRADE H. Rough fuzzy sets and fuzzy rough sets[J]. Int J General Systems, 1990, 17: 191-209.
[31]  ZIARKO W. Variable precision rough sets model[J]. Journal of Computer and System Sciences, 1993, 46(1): 39-59.
[32]  BJORVAND A T. 'Rough Enough'-A System Supporting the Rough Sets Approach[EB/OL]. http://home. sn. no/ -torvill, 1999-05-19/2003-09-10.
[33]  GRZYMALA-BUSSE J W. LERS-A system for learning from examples based on rough sets[A]. Intelligent Decision Support Handbook of Advances and Applications of the Rough Set Theory[M]. London: Kluwer Academic Publishing Company, 1992. 3-18.
[34]  GUNN J D. Global temperature stability by rule induction: An interdisciplinary bridge[J]. Hum Ecol, 1994, 22: 59-81.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133