(IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, 2010 
[16] U. Inyaem, P. Meesad, C. Haruechaiyasak, "Named-entity techniques for terrorism event extraction and classification, The Eight International Symposium on National Language Processing (SNLP2009), in press. 

[17] U. Inyaem, P. Meesad, C. Haruechaiyasak, D.Tran, "Composition of fuzzy ontology-based event extraction in terrorism domain," The 2009 International Conference on Robotics, Information and Intelligence control system technologies (RIIT2009), pp. 150-155, 2009. 

[18] U. Inyaem, P. Meesad, C. Haruechaiyasak, D. Tran, "Ontology-based terrorism event extraction," The 1st International Conference on Information Science and Engineering (ICISE2009), 2009. 

[19] I. Guler and E. D. Ubeyli, "Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients," Journal of Neuroscience Methods, vol. 148, no. 2, pp.113-121, October 2005. 

[20] H. Qin and S. X. Yang, "Adaptive neuro-fuzzy inference systems based approach to nonlinear noise cancellation for images," Fuzzy sets and systems. vol. 158, no. 10, pp. 1036-1063, May 2007. 

[21] S. N. Mandal, J. P. Choudhury, Dilip De, S. R. Bhadra Chaudhuri, "Roll of membership functions in fuzzy logic for prediction of shoot length of mustard plant based on residual Analysis," Proceedings of World Academy of Science, Engineering and Technology. South Africa, vol. 38, pp. 378-384, February 2008. 

[22] H. Li, C. L. P. Chen, H. P. Huang, "Fuzzy neural intelligent systems: 
mathematical foundation and the applications in engineering," CRC press, USA, 2001. 

[23] H. Ying, "Fuzzy control and modeling: analytical foundations and applications," Wiley-IEEE Press, USA, August 2000. 

[24] T. S. Kamel and M. A. M. Hassan, "Adaptive neuro-fuzzy inference system (ANFIS) for fault classification in the transmission lines," The Online Journal on Electronics and Electrical Engineering, vol. 2, no. 1, pp. 164-169, 2009. 

[25] Z. Chi, H. Yan, T. Pham, "Fuzzy algorithms: with applications to image processing and pattern recognition," World Scientific Publication Data, Singapore, 1996. 

[26] J. E. Heiss, C. M. Held, P. A. Estevex, C. A. Perez, C. A. Holzmann, J. 

P. Perez, "Classification of sleep stages in infants: a neuro fuzzy approach," The IEEE engineering in Medicine and Biology, vol. 21, no. 5, pp. 147-151, 2002. 

[27] A. L. Medaglia, S. C. Fang, H. L.W. Nuttle, J. R. Wilson, "An efficient and flexible mechanism for constructing membership functions," European journal of operational research, vol. 139, no. 1, pp. 84-95, 2002. 

AUTHORS PROFILE 
Uraiwan Inyaem received the B.Sc. degree in Computer 

![0_image_0.png](0_image_0.png)

![0_image_1.png](0_image_1.png)

![0_image_2.png](0_image_2.png)

![0_image_3.png](0_image_3.png) Science from the Rajamangala University of Technology Thunyaburi, Pathumthani, Thailand in 1997, the M.Sc. degree in Information Science from the King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand in 2002. She is currently a Ph.D. student candidate in the department of Information Technology at King Mongkut's University of Technology North Bangkok, Thailand. She had done her research in the Faculty of Information Sciences and Engineering at University of Canberra, Australia during January to December 2009. Her current research interests text mining, fuzzy ontology application and natural language processing. Phayung Meesad received the B.Sc. from King Mongkut's University of Technology North Bangkok, Thailand, the M.Sc. and Ph.D. degree in Electrical Engineering from Oklahoma State University, United States of America. Currently, he is an Assistant Professor in Department of Teacher Training in Electrical Engineering at King Mongkut's University of Technology North Bangkok, Thailand. His current research interests include fuzzy systems and neural networks, evolutionary computation and discrete control systems. 

Choochart Haruechaiyasak received B.Sc. from University of Rochester, M.Sc. from University of Southern California and Ph.D. degree in Computer Engineering from University of Miami, United States of America. Currently, he is chief of the Intelligent Information Infrastructure Section under the Human Language Technology Laboratory (HLT) at National Electronics and Computer Technology Center (NECTEC), Thailand. His current research interests include search technology, data/text/web mining, information filtering and recommender system. 

Dat Tran received the B.S. and M.S. degrees in Theoretical Physics from University of Science in 1984 and 1994, respectively. He then received Graduate Diploma and Ph.D. degree in Information Sciences and Engineering from University of Canberra, Australia in 1996 and 2001, respectively. He was awarded an internship to work at IBM Watson Research Center, New York, from June 2000 to Sep 2000. Currently, he is Associate Professor at University of Canberra, Faculty of Information Sciences and Engineering, Australia. His research interests include machine learning, data mining, pattern recognition, biometrics authentication, network security, spam email filtering, and fuzzy set theory. 