Formal concept analysis of incomplete information system

Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

Volumn 5, Issue , 2010, Pages 2016-2020

  Liu, Jun ^a   Yao, Xiaoqiu ^a  

^a ZHEJIANG OCEAN UNIVERSITY   (China)

Author keywords

Conceptual scaling; Formal concept analysis; Incomplete information system; Many valued context

Indexed keywords

CONCEPTUAL SCALING; FORMAL CONCEPT ANALYSIS; INCOMPLETE INFORMATION SYSTEMS; MANY-VALUED CONTEXT;

FUZZY SETS; INFORMATION SYSTEMS;

INFORMATION ANALYSIS;

EID: 78649255936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2010.5569661     Document Type: Conference Paper

References (18)

1. R.Wille. Restructuring lattice theroy an approach based on hierachies of condepts[C]//Ordered Sets Dordrecht Reidel 1982,pp.445-470
2. Song Xiao-Xue, Zhang Wen-Xiu. Formal Concept Analysis and Set-valued Information Systems.Computer Science,2007,34(11),pp.129-131,136.
3. Wang Jun-hong,Liang Ji-ye,Qu Kai-she.Information System Based on Domiance Relations and Formal Concept Analysis. Journal of Computer Applications,2009, 29(2),pp.539-541.
4. Sutton A,Maletic J I.Recovering UML Class models from C++: a detailed explaination. Inf Softw Technol,2007,49(3),pp.212-229.
5. Qu KS,Liang JY,Wang JH,ShiZZ. The algebraic properties of concept lattice. Journal of Systems Science and Information,Research Informaton Ltd UK,2004,2(2),pp.271-277.
6. Xie ZP,Liu ZT. A fast incremental algorithm for building concept lattice.Chinese Journal of Computers,2002,25(5),pp.490-495.
7. Liang JY, Wang JH. An algorithm for extracting rule-generating Sets based on concept lattice. Journa of Computer Research and Development,2004,41(8),pp. 1339-1344(in Chinese with English abstract).
8. Zupa B,Bohance M. Learning by discovering concept hierachies. Artificial Intelligence,1999,109(1-2),pp.211-242.
9. Dekel U.Revealing Java class structure with concept lattices[MS.Thesis]. Technion-Israel Institude of Technology,2003.
10. Valtchev P,Missaoui R,Godin R,Merdji M.Generating frequent itemsets incrementally:Two novel approaches based on Galois lattice theory . Journal of Experimental and Theoretical Artificial Intelligence,2002,14(2-3),pp.115-142.
11. QU Kai-she,Zhai Yan-hui,Liang Ji-ye,Li De-yu.Representation and Extecsion of Rugh Set Theory Based on Formal Concep Analysis. Journal of Software,2007,18(9),pp.2174-2182.
12. Zhang Wen-xiu,Wei Ling,Qi Jian-jun. Attribute reduction of concept lattice theory and method.Science in China,Ser,E.Information Sciences,2005,35(6),pp.628-639.
13. Liang JY,Li DY. Uncertainty and Knowledge Acquisition in Information Systems. Beijing:Science Press,2005(in Chinese).
14. Liu Jun. Rough Set Theory be applied to diagnose the leakage of water,gas and oil.The Ocean Engineering,2006,24(4),pp.112-115.
15. Ganter B, Wille R. Formal Concept Analysis:Mathematical. Berlin:Springer-Verlag,1999.
16. Yang Li,Xu Yang.Different types of many-valued context in concept lattice. Application Researh of Computers,2008, 25(7),pp.2033-2034, 2049.
17. Bernhard Ganter, Rudolf Wille. Formal Concept Analysis: Mathematical Foundations. Springer-Verlag New York,Inc. Secaucus,NJ,USA.1997,pp.30-47.
18. Zhang Wen-xiu,Wu Wei-zhi,Liang Ji-ye et. Rough Set Theory and Method. Beijing: Science Press,2003,pp.206-210.