Rough set model based on limited similarity dominance relation

Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

Volumn 5, Issue , 2008, Pages 285-289

  Gao, Yuqing ^a   Ha, Minghu ^a   Zhao, Xia ^a   Li, Chunjing ^b  

^a HEBEI UNIVERSITY   (China)

^b Hebei Information Engineering School   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; SET THEORY;

DECISION SYSTEMS; DOMINANCE RELATIONS; NEW MODELS; ROUGH SET MODELS; ROUGH SETS;

ROUGH SET THEORY;

EID: 58149118422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.118     Document Type: Conference Paper

References (10)

1. Z.- Pawlak.-Rough- set.- International- Journal- of-Computer- and- Information- Science,- 11:341-356,-1982.
2. P.-J.-Lingras-and-Y.-Y.-Yao.-Data-mining-using-extensions-of-the-rough- set-model.- Journal-of-the-American- Society- for- Information- Science,-49:415-422,-1998.
3. G.Y.- Wang.- Extension- of- rough- set- under-incomplete- information- systems.- Journal- of-Computer- Research- and Development,- 39:1238-1243,-2002.
4. M. Kryszkiewicz. Rough set approach to incomplete information systems. Information Sciences, 112:39-49, 1998.
5. R. Slowinski and D. Vanderpooten. Generalized definition of rough approximations based on similarity. IEEE Transaction Knowledge and Data Engineering, 12:331- 336, 2000.
6. M. W. Shao and W. X. Zhang. Dominance relation and rules in an incomplete ordered information system. International Journal of Intelligent Systems, 20:13-27, 2005.
7. X. B. Yang and J. Y. Yang. Dominance-based rough set approach and knowledge reduction in incomplete ordered information system. Information Sciences, 30: 153-158, 2008.
8. L. T. Tang and D. K. Wei. Variable rough set model and its properties for incomplete information system. Journal of Xiangtan University (Natural Sciences Edition), 29:32-37, 2007.
9. X. R. Yin and L. Sang. Extension model of rough set under incomplete information systems. Journal of Computer Research and Development, 39:337-341, 2002.
10. B.-B.-Qu-and- Y.-S.- Lu.-Rough- set-model-based-on- limited- non-symmetric- similarity- relation.-Journal-of-Chinese Computer-Systems, -28:1084-1088,-2007.