MGRS: A multi-granulation rough set

Information Sciences - Tập 180 Số 6 - Trang 949-970 - 2010
Yuhua Qian1,2, Jiye Liang2, Yiyu Yao3, Chuangyin Dang1
1Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong
2Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan, 030006 Shanxi, China
3Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2

Tóm tắt

Từ khóa


Tài liệu tham khảo

Dubois, 1990, Rough fuzzy sets and fuzzy rough sets, International Journal of General Systems, 17, 191, 10.1080/03081079008935107

Düntsch, 1998, Uncertainty measures of rough set prediction, Artificial Intelligence, 106, 109, 10.1016/S0004-3702(98)00091-5

Gediga, 2001, Rough approximation quality revisited, Artificial Intelligence, 132, 219, 10.1016/S0004-3702(01)00147-3

Guan, 1998, Rough computational methods for information systems, Artificial Intelligence, 105, 77, 10.1016/S0004-3702(98)00090-3

Jensen, 2007, Fuzzy-rough sets assisted attribute selection, IEEE Transactions on Fuzzy Systems, 15, 73, 10.1109/TFUZZ.2006.889761

Jeon, 2006, Rough sets attributes reduction based expert system in interlaced video sequences, IEEE Transactions on Consumer Electronics, 52, 1348, 10.1109/TCE.2006.273155

Skowron, 1996, Tolerance approximation spaces, Fundamenta Informaticae, 27, 245, 10.3233/FI-1996-272311

Kryszkiewicz, 1998, Rough set approach to incomplete information systems, Information Sciences, 112, 39, 10.1016/S0020-0255(98)10019-1

Kryszkiewicz, 1999, Rules in incomplete information systems, Information Sciences, 113, 271, 10.1016/S0020-0255(98)10065-8

Leung, 2003, Maximal consistent block technique for rule acquisition in incomplete information systems, Information Sciences, 153, 85, 10.1016/S0020-0255(03)00061-6

Liang, 2002, A new method for measuring uncertainty and fuzziness in rough set theory, International Journal of General Systems, 31, 331, 10.1080/0308107021000013635

Liang, 2005

Liang, 2006, Axiomatic approach of knowledge granulation in information systems, Lecture Notes in Artificial Intelligence, 4304, 1074

Ma, 2007, Granular computing and dual Galois connection, Information Sciences, 177, 5365, 10.1016/j.ins.2007.07.008

Mi, 2004, Approaches to knowledge reductions based on variable precision rough sets model, Information Sciences, 159, 255, 10.1016/j.ins.2003.07.004

Pawlak, 1991, vol. 9

Pawlak, 2007, Rudiments of rough sets, Information Sciences, 177, 3, 10.1016/j.ins.2006.06.003

Qian, 2006, Rough set method based on multi-granulations, Proceedings of 5th IEEE Conference on Cognitive Informatics, 1, 297, 10.1109/COGINF.2006.365510

Y.H. Qian, C.Y. Dang, J.Y. Liang, Incomplete multi-granulations rough set, IEEE Transactions on Systems, Man and Cybernetics-Part A, 2009, doi:10.1109/TSMCA.2009.2035436.

Qian, 2008, Measures for evaluating the decision performance of a decision table in rough set theory, Information Sciences, 178, 181, 10.1016/j.ins.2007.08.010

Qian, 2008, Converse approximation and rule extraction from decision tables in rough set theory, Computers and Mathematics with Applications, 55, 1754, 10.1016/j.camwa.2007.08.031

Qian, 2009, Knowledge structure, knowledge granulation and knowledge distance in a knowledge base, International Journal of Approximate Reasoning, 50, 174, 10.1016/j.ijar.2008.08.004

Qian, 2008, On the evaluation of the decision performance of an incomplete decision table, Data& Knowledge Engineering, 65, 373, 10.1016/j.datak.2007.12.002

Qian, 2008, Consistency measure, inclusion degree and fuzzy measure in decision tables, Fuzzy Sets and Systems, 159, 2353, 10.1016/j.fss.2007.12.016

Rasiowa, 1991, Mechanical proof systems for logic of reaching consensus by groups of intelligent agents, International Journal of Approximate Reasoning, 5, 415, 10.1016/0888-613X(91)90020-M

Rasiowa, 1992, Mechanical proof systems for logic II, consensus programs and their processing, Journal of Intelligent Information Systems, 2, 149, 10.1007/BF00965875

Rauszer, 1993, Distributive knowledge representation systems, Foundations of Computing and Decision Sciences, 18, 307

Rauszer, 1993, Communication systems in distributed information systems, Proceedings of the Intelligent Information Systems, 15

Rauszer, 1993, Approximation methods for knowledge representation systems, Lecture Notes in Computer Science, 689, 326, 10.1007/3-540-56804-2_31

Rauszer, 1994, Rough logic for multiagent systems, Lecture Notes in Artificial Intelligence, 808, 161

Rebolledo, 2006, Rough intervals-enhancing intervals for qualitative modeling of technical systems, Artificial Intelligence, 170, 667, 10.1016/j.artint.2006.02.004

Shen, 2002, A rough-fuzzy approach for generating classification rules, Pattern Recognition, 2425, 10.1016/S0031-3203(01)00229-1

Ślezak, 2005, The investigation of the Bayesian rough set model, International Journal of Approximate Reasoning, 40, 81, 10.1016/j.ijar.2004.11.004

Wu, 2004, Constructive and axiomatic approaches of fuzzy approximation operators, Information Sciences, 159, 233, 10.1016/j.ins.2003.08.005

Wu, 2003, Generalized fuzzy rough sets, Information Sciences, 152, 263, 10.1016/S0020-0255(02)00379-1

Xu, 2002, Inclusion degree: a perspective on measures for rough set data analysis, Information Sciences, 141, 227, 10.1016/S0020-0255(02)00174-3

Y.Y. Yao, Granular computing basis issues and possible solutions, in: Proceedings of the Fifth International Conference on Computing and Information, vol. I, 2000, pp. 186–189.

Yao, 2001, Information granulation and rough set approximation, International Journal of Intelligent Systems, 16, 87, 10.1002/1098-111X(200101)16:1<87::AID-INT7>3.0.CO;2-S

Y.Y. Yao, Perspectives of granular computing, in: Proceedings of 2005 IEEE International Conference on Granular Computing, vol. I, 2005, pp. 85–90.

Zadeh, 1997, Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems, 90, 111, 10.1016/S0165-0114(97)00077-8

Zeng, 2006, Knowledge acquisition based on rough set theory and principal component analysis, IEEE Intelligent Systems, 78, 10.1109/MIS.2006.32

Zhang, 2003, Approaches to knowledge reductions in inconsistent systems, International Journal of Intelligent Systems, 21, 989, 10.1002/int.10128

Ziarko, 1993, Variable precision rough sets model, Journal of Computer System Science, 46, 39, 10.1016/0022-0000(93)90048-2