1 
C 

Zengchang Qin and Jonathan Lawry (2003)
Linguistic decision tree induction
J. M. Rossiter and T. P. Martin Ed., the Proceedings of the 2003 UK workshop on Computational Intelligence (UKCI03), pp. 268271, Bristol, UK. ISBN: 0862925371. 
2 
C 

Zengchang Qin and Jonathan Lawry
(2004)
A Treestructured classification model based on label semantics
The Proceedings of the 10th International Conference of Information Processing and Management of Uncertainty in Knowledgebased Systems (IPMU04), pp. 261268, Perugia, Italy. 
3 
C 

Zengchang Qin and Jonathan Lawry
(2005)
Hybrid Bayesian estimation trees based on label semantics
L. Godo (Ed.), The Proceedings of Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU05), Lecture Notes in Artificial Intelligence (LNAI 3571), pp. 896907, Springer. 
4 
C 

Zengchang Qin and
Jonathan Lawry (2005)
Linguistic rule induction based on a random set semantics
Fuzzy Logic, Soft Computing and Computational Intelligence  the proceedings of IFSA world congress (IFSA05), pp. 13981404, SpringerTsinghua. 
5 
C 

Zengchang Qin and Jonathan Lawry (2005)
Prediction trees using linguistic modelling
Fuzzy Logic, Soft Computing and Computational Intelligence  the proceedings of IFSA world congress, pp. 16431649, SpringerTsinghua.
(Best Student Paper Award)

6 
J 

Zengchang Qin and Jonathan Lawry (2005)
Decision tree learning with fuzzy labels
Information Sciences, Vol. 172/12, pp. 91129. 
7 
C 

Zengchang Qin and Jonathan Lawry
(2006)
High level fuzzy labels for vague concepts
Soft Methods for Integrated Uncertainty Modeling, Lawry, Miranda, Bugarin, Li, Angeles Gil, Grzegorzewski and Hryniewicz (Eds.), Advances in Soft Computing 6 , Vol.37, pp. 317324, Springer.

8 
C 

Zengchang Qin and Jonathan Lawry (2007)
Fuzziness and performance: an empirical study with linguistic decision trees
Foundations of Fuzzy Logic and Soft Computing, Lecture Notes in Artificial Intelligence (LNAI 4529), pp. 407416, Springer.

9 
P 

Zengchang Qin and Jonathan Lawry (2008)
Fuzzy label semantics for data mining
Forgingthe New Frontiers: Fuzzy Pioneers II, Ed. M. Nikravesh, J. Kacprzyk, and L. A. Zadeh, Studies in Fuzziness and Soft Computing, pp. 269297, Springer.

10 
P 

Zengchang Qin and Jonathan Lawry (2008)
Knowledge discovery in a framework for modeling with words
Soft Computing for Knowledge Discovery and Data Mining, Ed. O. Maimon and L. Rokach, pp. 241276, Springer.

11 
J 

Zengchang Qin and Jonathan Lawry (2008)
LFOIL: Linguistic rule induction in the label semantics framework
Fuzzy Sets and Systems, Vol. 159/4, pp. 435448. 
12 
C 

Weifeng Zhang and Zengchang Qin (2010)
A dissimilarity measure of logical expressions
The Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2010),pp. 109‐203, IEEE Press.

13 
C 

Weifeng Zhang and Zengchang Qin (2011)
Clustering data and imprecise concepts
Proceedings of IEEEFUZZ, pp. 603608.

14 
J 

Zengchang Qin and Jonathan Lawry (2011)
Prediction and query evaluation
using linguistic decision trees
Applied Soft Computing, Vol. 11, pp. 39163928.

15 
J 

Zengchang Qin and Tao Wan (2013)
Hybrid Bayesian estimation tree
learning with discrete and fuzzy labels
Frontiers of Computer Science, Vol. 7(6), pp. 852863

16 
C 

Hanqing Zhao and
Zengchang Qin (2015)
Clustering data and vague concepts
using prototype theory interpreted label semantics
IUKM 2015, V.N. Huynh (Eds.), LNAI 9376, pp. 236246, 2015.
