Page 112 - profile-ok

研究人員 ｜ Research Faculty

● Associate Research Fellow, Institute of Information Science,
廖純中 Churn-Jung Liau Academia Sinica, Taiwan (1997/3-2004/12)
● Assistant Research Fellow, Institute of Information Science,
Academia Sinica, Taiwan (1992/8-1997/2)
● Ph.D., CSIE, National Taiwan University, Taiwan (1989/09-1992/06)
研究員 Research Fellow ● M.S., CSIE, National Taiwan University, Taiwan (1985/09-1987/06)
Ph.D., CSIE , National Taiwan University ● B.S., CSIE, National Taiwan University, Taiwan (1981/10-1985/06)
Tel: +886-2-2788-3799 ext. 1713
Fax: +886-2-2782-4814
Email: liaucj@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/liaucj/eindex.html

代表著作 Publications

1. C.J. Liau, “Social networks and granular computing,” Encyclopedia 17. T.F. Fan, C.J. Liau, and Y. Yao, “On modal and fuzzy decision logics
of Complexity and System Science, R.A. Meyers(ed.), pages entry based on rough set theory,” Fundamenta Informaticae, volume 52,
研究簡介 Research Description 00778, Springer-Verlag, 2009. number 4, pages 323-344, 2002.
2. T.Y. Lin, Y. Xie, A. Wasilewska, and C.J. Liau, Data Mining: Founda- 18. C. J. Liau, “A logical analysis of the relationship between commit-
我的研究興趣在於理性與知識的本質之探討，及其在人 My research interest is in the investigation of the essence of rationality and knowl- tions and Practice, Springer-Verlag, 2008. ment and obligation,” Journal of Logic, Language, and Information,
工智慧方面的可能應用。我們主要探討一個理性的主體 edge and its application to artificial intelligence. We mainly investigate how a ra- 3. T.Y. Lin, S. Ohsuga, C.J. Liau, and X. Hu, Foundations and Novel volume 10, number 2, pages 237-261, 2001.
如何獲取知識，如何以邏輯方法表達其知識，並經由邏 tional agent acquires knowledge, represents the knowledge by logic, and acts and Approaches in Data Mining, Springer-Verlag, 2006. 19. C. J. Liau and D.R. Liu, “A Possibilistic decision logic with applica-
輯推理做出決策及採取行動的過程。特別是在資訊不充 makes decisions based on logical reasoning. In particular, our most interesting topic 4. T.Y. Lin, S. Ohsuga, C.J. Liau, X. Hu, and S. Tsumoto, Foundations of tions,” Fundamenta Informaticae, volume 46, number 3, pages 199-
217, 2001.
分及不完全的環境下，其邏輯推理的合理性標準如何建 is the rationality criteria of logical reasoning under the environment of incomplete Data Mining and Knowledge Discovery, Springer-Verlag, 2005.
立，是我們最感興趣的課題。 and insufficient information. 5. I.C. Wang, C.H. Shen, T.-s. Hsu, C.J. Liau, D.W. Wang, and J. Zhan, 20. C. J. Liau, “An overview of rough set semantics for modal and quan-
tifier logics,” International Journal of Uncertainty, Fuzziness and
“Towards empirical aspects of secure scalar product,” IEEE Transac-
就技術層面而言，我們主要的一部份工作在於不同的不 Technically, a major part of our work involves the study of properties of different tions on Systems, Man, and Cybernetics, volume 39, pages 440-447, Knowledge-based Systems, volume 8, number 1, pages 93-118, 2000.
準度推理邏輯之性質的研究，像是模糊邏輯，可能邏 types of logic for uncertain reasoning, for example, fuzzy logic, possibilistic logic, 2009. 21. C. J. Liau, “On the possibility theory-based semantics for logics of
輯，樣態邏輯，條件邏輯，及非單調邏輯等等。另外， modal logic, conditional logic, nonmonotonic logic, etc. Furthermore, we have also 6. Y. C. Chang, S. M. Chen, and C. J. Liau, “Fuzzy interpolative reason- preference,” International Journal of Approximate Reasoning, vol-
我們也試著為這些不同的邏輯提出一個一致的架構。 developed some uniform frameworks for these different types of logic. ing for sparse fuzzy rule-based systems based on the areas of fuzzy ume 20, number 2, pages 173-190, 1999.
sets,” IEEE Transactions on Fuzzy Systems, volume 16, number 5, 22. C. J. Liau, “Possibilistic residuated implication logics with applica-
近來，我們也著重於智慧型助理軟體邏輯性質之探討。 Recently, we have also concentrated on the formalization of the logical properties pages 1285-1301, 2008. tions,” International Journal of Uncertainty, Fuzziness, and Knowl-
包括了知態推理，道德推理與偏好推理等不同的邏輯系 of intelligent agents. Based on different logical systems like epistemic reasoning, 7. T.F. Fan, C.J. Liau, and T.Y. Lin, “A theoretical investigation of regu- edge-based Systems, volume 6, number 4, pages 365-385, 1998.
統，並以此為基礎討論智慧型助理軟體的一些特性。 deontic reasoning, preferential reasoning, etc., we can discuss some characteristic lar equivalences for fuzzy graphs,” International Journal of Approxi- 23. T. F. Fan, I. P. Lin and C. J. Liau, “Nonmonotonic reasoning based on
features of intelligent agents. mate Reasoning, volume 49, pages 678-688, 2008 incomplete logic,” Journal of Applied Non-Classical Logics, volume
7, number 4, pages 375-395, 1997.
8. D.W. Wang, C.J. Liau, and T.-s. Hsu, “An Epistemic Framework for
Privacy Protection in Database Linking,” Data and Knowledge Engi- 24. C. J. Liau, “Representing defaults in the framework of possibility the-
neering, volume 61, pages 176-205, 2007. ory,” International Journal of General Systems, volume 25, number 4,
pages 373-387, 1997.
9. D.W. Wang, C.J. Liau, and T.-s. Hsu, “Granulation as a privacy pro-
tection mechanism,” LNCS Transactions on Rough Sets, volume VII, 25. C. J. Liau and I. P. Lin, “Possibilistic reasoning---A mini-survey and
pages 256-273, 2007. uniform semantics,” Artificial Intelligence, volume 88, number 1-2,
pages 163-193, 1996.
10. D.W. Wang, C.J. Liau, T.-s. Hsu, and J.K.-P. Chen, “Value and dam-
age of information: A data security perspective,” International Jour- 26. C. J. Liau, “An algebraic formalization of the relationship between
nal of Approximate Reasoning, volume 43, pages 179--201, 2006. evidential structures and data tables,” Fundamenta Informaticae, vol-
ume 27, number 1, pages 57-76, 1996.
11. C.J. Liau, “A modal logic framework for multi-agent belief fusion,”
ACM Transactions on Computational Logic, volume 6, number 1, 27. C. J. Liau and I. P. Lin, “A theoretical investigation into quantitative
pages 124-174, 2005. modal logic,” Fuzzy Sets and Systems, volume 75, pages 355-363,
1995.
12. C.J. Liau, “Belief fusion and revision: An overview based on epistem-
ic logic semantics,” Journal of Applied Non-Classical Logics, volume 28. C. J. Liau and I. P. Lin, “Proof methods for reasoning about possibil-
14, number 3, pages 247-274, 2004, (Special Issue on Uncertainty, ity and necessity,” International Journal of Approximate Reasoning,
Incompleteness, Imprecision and Conflict in Multiple Data Sources). volume 9, number 4, pages 327-364, 1993.
13. C.J. Liau, “Matrix representation of belief states: An algebraic seman- 29. C. J. Liau and I. P. Lin, “Abstract minimality and circumscription,”
tics for belief logics,” International Journal of Uncertainty, Fuzziness, Artificial Intelligence, volume 54, pages 381-396, 1992.
and Knowledge-based Systems, volume 12, number 5, pages 613-633, 30. C. J. Liau and I. P. Lin, “Fuzzy term rewriting system,” Fuzzy Sets and
2004.
Systems, volume 44, pages 1-15, 1991.
14. D.W. Wang, C.J. Liau, and T.-s. Hsu, “Medical privacy protection
based on granular computing,” Artificial Intelligence in Medicine,
volume 32, number 2, pages 137-149, 2004.
15. C.J. Liau, “Belief, information acquisition, and trust in multi agent
systems — A modal logic formulation,” Artificial Intelligence, vol-
ume 149, number 1, pages 31-60, 2003.
16. Y.C. Chiang, T.-s. Hsu, S. Kuo, C.J. Liau, and D.W. Wang, “Preserv-
ing confidentiality when sharing medical database with the Cellsecu
system,” International Journal of Medical Informatics, volume 71,
pages 17-23, 2003.
112 113