Education

1984 - 1989

Ph.D., Department of Statistics, University of South Carolina, USA.

1978 - 1980

M.S., Department of Applied Mathematics, National Chiao Tung University, Taiwan.

1973 - 1977

B.S., Department of Mathematics, Chung Yuan Christian University, Taiwan.

Appointments

1994 - present

Professor, Department of Applied Mathematics, Chung Yuan Christian University, Taiwan

2001 - 2005

Chairman, Department of Applied Mathematics, Chung Yuan Christian University, Taiwan

1997 - 1998

Visiting Professor, Department of Industrial Engineering, University of Washington, Seatle, USA.

1989 - 1994

Associate Professor, Department of Mathematics, Chung Yuan Christian University, Taiwan

 

Academic Services

2010 - present

          Editor-in-Chief, Advances in Computational Research    [Website]

2005 - present

Associate Editor of IEEE Transactions on Fuzzy Systems    [Website]

2008 - present

Associate Editor of Applied Computational Intelligence and Soft Computing    [Website]

2010 - present

Committee Member of International journal of Information and Management Science (IJIMS)   [Website]

　

Award

1992    Distinguished Teaching Award, College of Science, Chung Yuan Christian University

1993    Distinguished Teaching Award, College of Science, Chung Yuan Christian University

2008     Outstanding Associate Editor Award, IEEE Trans. on Fuzzy Systems, IEEE

2009     Outstanding Research Award, Chung Yuan Christian University

2010    Top Cited Article Award 2005-2010, Pattern Recognition Letters

　

Research Interests

• Fuzzy clustering
• Machine learning and pattern recognition
• Image segmentation
• Industrial systems
• Statistic applications

 >>TOP

Publications

Journal Articles

1.          M.S. Yang, C.Y. Lai and C.Y. Lin, 2012, A robust EM clustering algorithm for Gaussian mixture models. (Accepted) Pattern Recognition

2.          M.S. Yang, W.L. Hung and D.H. Chen, 2012, Self-organizing map for symbolic data, Fuzzy Sets and Systems.  (Accepted)

3.          C.M. Hwang, M.S. Yang and W.L. Hung, 2012, On similarity, inclusion measure and entropy between type-2 fuzzy sets, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Vol. 20, No. 3, pp. 433-449.

4.          S.J. Chang-Chien, W.L. Hung and M.S. Yang, 2012, On mean shift-based clustering for circular data. Soft Computing, Vol. 16, No. 6, pp. 1043-1060.

5.          C.M. Hwang, M.S. Yang, W.L. Hung and M.G. Lee, 2012, A similarity measure of intuitionistic fuzzy sets based on Sugeno integral with its application to pattern recognition, Information Sciences, Vol. 189, No. 1, pp. 93-109.

6.          J. Yu, M.S. Yang and P. Hao, 2011, A novel multimodal probability model for cluster analysis, Fundamenta Informaticae, Vol. 111, No. 1, pp. 81-90.

7.          W.L.Hung, M.S. Yang, J. Yu and C.M. Hwang, 2011, Feature-weighted mountain method with its applications to color image segmentation, International Journal of Computational Intelligence Systems, Vol. 4, No. 5, pp. 1002-1011.

8.          J. Yu, M.S. Yang and E.S. Lee, 2011, Sample-weighted clustering methods, Computers and Mathematics with Applications, Vol. 62, No. 5, pp. 2200-2208.

9.          W.L. Hung, D.H. Chen and M.S. Yang, 2011, Suppressed fuzzy-soft learning vector quantization for MRI segmentation, Artificial Intelligence in Medicine, Vol. 52, No. 1, pp. 33-43. PDF

10.      C.M. Hwang, M.S. Yang, W.L. Hung and E.S. Lee, 2011, Similarity, inclusion and entropy measures between type-2 fuzzy sets based on the Sugeno integral. Mathematical and Computer Modelling, Vol. 53, No. 9, pp. 1788-1797. PDF

11.      W.L. Hung, M.S. Yang, E.S. Lee, 2011, Cell formation using fuzzy relational clustering algorithm. Mathematical and Computer Modelling, Vol. 53, no. 9, pp.1776-1787. PDF

12.      C.M. Hwang and M.S. Yang, 2011, On fuzzy renewal processes for fuzzy random variables and extended theorems, International Journal of Intelligent Systems, vol. 26, no. 2, pp. 115–128. PDF

13.      M.S. Yang and C.Y. Lai, 2011, A robust automatic merging possibilistic clustering method, IEEE Trans. Fuzzy Systems, vol. 19, no. 1, pp. 26–41. PDF

14.      C.Y. Lai and M.S. Yang, 2011, Entropy-type classification maximum likelihood algorithms for mixture models, Soft Computing. PDF

15.      W.L. Hung, M.S. Yang, J. Yu and C.M. Hwang, 2010, Feature-weighted mountain method with its applications to color image segmentation, Lecture Notes in Computer Science, vol. 6401, pp. 537-544. PDF

16.      M.S. Yang, K.L. Wu, K.C.R. Lin, H.C. Liu and J.F. Lirng, 2010, On three types of competitive learning algorithms with their comparisons and applications to MRI segmentation, International Journal of Intelligent Systems, vol. 25, no. 11, pp. 1081-1102. PDF

17.      W.L. Hung, M.S. Yang and E.S. Lee, 2010, A robust clustering procedure for fuzzy data, Computers and Mathematics with Applications, vol. 60, no. 1, pp. 151-165.PDF

18.      K.L. Wu, M.S. Yang and J.N. Hsieh, 2010, Mountain c-regressions method, Pattern Recognition, vol. 43, no. 1, pp. 86-98. PDF

19.      K.L. Wu, M.S. Yang and J.N. Hsieh, 2009, Robust cluster validity indexes, Pattern Recognition, vol. 42, no. 11, pp. 2541-2550. PDF

20.      J. Yu, M.S. Yang and P. Hao, 2009, A novel multimodal probability model for cluster analysis, Lecture Notes in Computer Science, vol. LNCS 5589, pp. 397-404. PDF

21.      R.W. Po, Y.Y. Guh and M.S. Yang, 2009, A new clustering approach using data envelopment analysis, European Journal of Operational Research, vol. 199, no. 1, pp. 276-284. PDF

22.      M.S. Yang and D.C. Lin, 2009, On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering, Computers and Mathematics with Applications, vol. 57, no. 6, pp. 896-907. PDF

23.      Y.Y. Guh, M.S. Yang, R.W. Po and E.S. Lee, 2009, Interval-valued fuzzy relation-based clustering with its application to performance evaluation, Computers and Mathematics with Applications, vol. 57, no. 5, pp. 841-849. PDF

24.      C.M. Hwang and M.S. Yang, 2008, On entropy of fuzzy sets, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 16, no. 4, pp. 519-527. PDF

25.      M.S. Yang and H.S. Tsai, 2008, A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction, Pattern Recognition Letters, vol. 29, no. 12, pp. 1713-1725. PDF

26.      Y.Y. Guh, M.S. Yang, R.W. Po and E.S. Lee, 2008, Establishing performance evaluation structures by fuzzy relation-based cluster analysis, Computers and Mathematics with Applications, vol. 56, no. 2, pp. 572-582. PDF

27.      M.S. Yang, K.L. Wu, J.N. Hsieh and J. Yu, 2008, Alpha-cut implemented fuzzy clustering algorithms and switching regressions, IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 38, no. 3, pp. 588-603. PDF

28.      W.L. Hung, M.S. Yang and D.H. Chen, 2008, Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation, Pattern Recognition Letters, vol. 29, no. 9, pp. 1317-1325. PDF

29.      W.L. Hung and M.S. Yang, 2008, On similarity measures between intuitionistic fuzzy sets. International Journal of Intelligent Systems, vol. 23, no. 3, pp. 364-383. PDF

30.      M.S. Yang and J.H. Yang, 2008, Machine-part cell formation in group technology using a modified ART1 method, European Journal of Operational Research, vol. 188, no. 1, pp. 140-152. PDF

31.      W.L. Hung and M.S. Yang, 2008, On the j-divergence of intuitionistic fuzzy sets with its application to pattern recognition, Information Sciences, vol. 178, no. 6, pp. 1641-1650. PDF

32.      M.S. Yang, Y.H. Chiang, C.C. Chen and C.Y. Lai, 2008, A fuzzy k-partitions model for categorical data and its comparison to the GoM model, Fuzzy Sets and Systems, vol. 159, no. 4, pp. 390-405. PDF

33.      J. Yu and M.S. Yang, 2007, A generalized fuzzy clustering regularization model with optimality tests and model complexity analysis, IEEE Trans. on Fuzzy Systems, vol. 15, no. 5, pp. 904-915. PDF

34.      C.M. Hwang and M.S. Yang, 2007, Generalization of belief and plausibility functions to fuzzy sets based on Sugeno integral, International Journal of Intelligent Systems, vol. 22, no. 11, pp. 1215-1228. PDF

35.      W.L. Hung and M.S. Yang, 2007, Similarity measures of intuitionistic fuzzy sets based on Lp metric, Int. J. of Approximate Reasoning, vol. 46, no. 1, pp. 120-136. PDF

36.      K.L. Wu and M.S. Yang, 2007, Mean shift-based clustering. Pattern Recognition, vol. 40, no. 11, pp. 3035-3052. PDF

37.      M.S. Yang, K.C.R. Lin, H.C. Lin and J.F. Lirng, 2007, Magnetic resonance imaging segmentation techniques using batch-type learning vector quantization algorithms, Magnetic Resonance Imaging, vol. 25, no. 2, pp. 265-277. PDF

38.      M.S. Yang, W.L. Hung and C.H. Chang, 2006, A penalized fuzzy clustering algorithm, WSEAS Trans. on Computers Research, vol. 1, no. 2, pp. 83-88. PDF

39.      W.L. Hung and M.S. Yang, 2006, An omission approach for detecting outliers in fuzzy regression models, Fuzzy Sets and Systems, vol. 157, no. 23, pp. 3109-3122. PDF

40.      M.S. Yang, W.L. Hung and T.I. Chung, 2006, Alternative fuzzy c-means clustering algorithms with L1-norm and covariance matrix, Lecture Notes in Computer Science, vol. LNCS 4179, pp. 654-665. PDF

41.      I.G. Jiang, L.C. Yeh, W.L. Hung and M.S. Yang, 2006, Data analysis on the extra-solar planets using robust clustering, Monthly Notices of the Royal Astronomical Society, vol. 370, no. 3, pp. 1379-1392. PDF

42.      M.S. Yang, W.L. Hung and F.J. Cheng, 2006, Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications, International Journal of Production Economics, vol. 103, no. 1, pp. 185-198. PDF

43.      W.L. Hung and M.S. Yang, 2006, Fuzzy entropy on intuitionistic fuzzy sets, International Journal of Intelligent Systems, vol. 21, no. 4, pp. 443-451. PDF

44.      W.L. Hung, M.S. Yang and D.H. Chen, 2006, Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation, Pattern Recognition Letters, vol. 27, no. 5, pp. 424-438. PDF

45.      K.L. Wu and M.S. Yang, 2006, Alternative learning vector quantization, Pattern Recognition, vol. 39, no. 3, pp. 351-362. PDF

46.      M.S. Yang and K.L. Wu, 2006, Unsupervised possibilistic clustering, Pattern Recognition, vol. 39, no. 1, pp. 5-21. PDF

47.      M.S. Yang and K.L. Wu, 2005, A modified mountain clustering algorithm, Pattern Analysis and Applications, vol. 8, pp. 125-138. PDF

48.      M.S. Yang, W.L. Hung and S.J. Chang-Chien, 2005, On a similarity measure between LR-type fuzzy numbers and its application to database acquisition, International Journal of Intelligent Systems, vol. 20, no. 10, pp. 1001-1016. PDF

49.      M.S. Yang and H.S. Tsai, 2005, An alternative fuzzy compactness and separation clustering algorithm, Lecture Notes in Computer Science, vol. LNCS 3708, pp. 146-153. PDF

50.      J. Yu and M.S. Yang, 2005, A note on the ICS algorithm with corrections and theoretical analysis, IEEE Trans. on Image Processing, vol. 14, no. 7, pp. 973-978.  PDF

51.      M.S. Yang and C.Y. Lai, 2005, Mixture Poisson regression models for heterogeneous count data based on latent and fuzzy class analysis, Soft Computing, vol. 9, no. 7, pp.519-524. PDF

52.      K.L. Wu and M.S. Yang, 2005, A cluster validity index for fuzzy clustering, Pattern Recognition Letters, vol. 26, no. 9, pp. 1275-1291. PDF

53.      K.L. Wu, J. Yu and M.S. Yang, 2005, A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests, Pattern Recognition Letters, vol.26, no. 5, pp. 639-652. PDF

54.      J.H. Yang and M.S. Yang, 2005, A control chart pattern recognition system using a statistical correlation coefficient method, Computers & Industrial Engineering, vol. 48, no. 2, pp. 205-221. PDF

55.      J. Yu and M.S. Yang, 2005, Optimality test for generalized FCM and its application to parameter selection, IEEE Trans. on Fuzzy Systems, vol. 13, no. 1, pp. 164-176. PDF

56.      W.L. Hung and M.S. Yang, 2005, Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation, Fuzzy Sets and Systems, vol. 150, no. 3, pp. 561-577. PDF

57.      M.S. Yang and N.Y. Yu, 2005, Estimation of parameters in latent class models using fuzzy clustering algorithms, European Journal of Operational Research, vol. 160, no. 2, pp. 515-531. PDF

58.      W.L. Hung and M.S. Yang, 2004, Similarity measures between type-2 fuzzy sets, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, no. 6, pp. 827-841. PDF

59.      M.S. Yang and H.M. Chen, 2004, Fuzzy class logistic regression analysis, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, no. 6, pp. 761-780. PDF

60.      W.L. Hung and M.S. Yang, 2004, Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance, Pattern Recognition Letters, vol. 25, no. 14, pp. 1603-1611. PDF

61.      M.S. Yang and K. L. Wu, 2004, A similarity-based robust clustering method, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 4, pp. 434-448. PDF

62.      Y.Y. Hong, Z.T. Chao and M.S. Yang, 2004, A fuzzy multiple linear regression based loss formula in electric distribution systems, Fuzzy Sets and Systems, vol. 142, no. 2, pp. 293-306. PDF

63.      M.S. Yang, P. Y. Hwang and D.H. Chen, 2004, Fuzzy clustering algorithms for mixed feature variables, Fuzzy Sets and Systems, vol. 141, no. 2, pp. 301-317. PDF

64.      M.S. Yang and H.H. Liu, 2003, Fuzzy least-square algorithms for interactive fuzzy linear regression models, Fuzzy Sets and Systems, vol. 135, no. 2, pp. 305-316l.  PDF

65.      M.S. Yang, T.C. Chen and K.L. Wu, 2003, Generalized belief function, plausibility function, and Dempster's combinational rule to fuzzy sets, International Journal of Intelligent Systems, vol. 18, no. 8, pp. 925-937. PDF

66.      J. Yu and M.S. Yang, 2003, A study on a generalized FCM, Lecture Notes in Artificial Intelligence, vol. 2639, pp. 390-393.

67.      K.C.R. Lin, M.S. Yang, H.C. Liu, J.F. Lirng and P.N. Wang, 2003, Generalized Kohonen's competitive learning algorithms for ophthalmological MR image segmentation, Magnetic Resonance Imaging, vol. 21, no. 8, pp. 863-870. PDF

68.      K.L. Wu and M.S. Yang, 2003, A fuzzy-soft learning vector quantization, Neurocomputing, vol. 55, no. 10, pp. 681-697. PDF

69.      M.S. Yang and T.S. Lin, 2002, Fuzzy least-square linear regression analysis for fuzzy input-output data, Fuzzy Sets and Systems, vol. 126, no. 3, pp. 389-399. PDF

70.      M.S. Yang, Y.J. Hu, K.C.R. Lin and C.C.L Lin, 2002, Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms, Magnetic Resonance Imaging, vol. 20, no. 2, pp. 173-179. PDF

71.      K.L. Wu and M.S. Yang, 2002, Alternative c-means clustering algorithms, Pattern Recognition, vol. 35, no. 10, pp. 2267-2278. PDF

72.      M.S. Yang and J.H. Yang, 2002, A fuzzy-soft learning vector quantization for control chart pattern recognition, International Journal of Production Research, vol. 40, no. 12, pp. 2721-2731. PDF

73.      M.S. Yang and H.M. Shih, 2001, Cluster analysis based on fuzzy relations, Fuzzy Sets and Systems, vol. 120, no. 2, pp. 197-212. PDF

74.      M.S. Yang and H.H. Liu, 1999, Fuzzy clustering procedures for conical fuzzy vector data, Fuzzy Sets and Systems, vol. 106, pp. 189-200. PDF

75.      M.S. Yang and C.H. Chen, 1998, On the edited fuzzy k-nearest neighbor rule, IEEE Trans. on Systems, Man and Cybernetics-Part B, vol. 28, pp. 461-466. PDF

76.      M.S. Yang and M.C. Liu, 1998, On possibility analysis of fuzzy data, Fuzzy Sets and Systems, vol. 94, pp. 171-183. PDF

77.      M.S. Yang and C.H. Ko, 1997, On cluster-wise fuzzy regression analysis, IEEE Trans. On Systems, Man, and Cybernetics-Part B, vol. 27, pp. 1-13. PDF

78.      M.S. Yang and J.A. Pan, 1997, On fuzzy clustering of directional data, Fuzzy Sets and Systems, vol. 91, pp. 319-326. PDF

79.      M.S. Yang and C.H. Ko, 1996, On a class of fuzzy c-numbers clustering procedures for fuzzy data, Fuzzy Sets and Systems, vol. 84, pp. 49-60. PDF

80.      M.S. Yang, 1994, On asymptotic normality of a class of fuzzy c-means clustering procedures, International Journal of General Systems, vol. 22, pp. 391-403. PDF

81.      M.S. Yang and C.F. Su, 1994, On parameter estimation for the normal mixtures based on fuzzy clustering algorithms, Fuzzy Sets and Systems, vol. 68, pp. 13-28. PDF

82.      M.S. Yang and C.T. Chen, 1994, Convergence rate of the fuzzy generalized nearest neighbor rule, Computers and Mathematics with Application, vol. 27, pp.1-8. PDF

83.      M.S. Yang and C.T. Chen, 1993, On strong consistency of the fuzzy generalized nearest neighbor rule, Fuzzy Sets and Systems, vol. 60, pp. 273-281. PDF

84.      M.S. Yang, 1993, A survey of fuzzy clustering, Mathematical and Computer Modeling, vol. 18, pp. 1-16. PDF

85.      M.S. Yang, 1993, Convergence properties of the generalized fuzzy c-means clustering algorithms, Computers and Mathematics with Applications, vol. 25, pp. 3-11. PDF

86.      M.S. Yang, 1993, On a class of fuzzy classification maximum likelihood procedures, Fuzzy Sets and Systems, vol. 57, pp. 365-375. PDF

87.      M.S. Yang and K.F. Yu, 1992, On existence and strong consistency of a class of fuzzy c-means clustering procedures, Cybernetics and Systems: An International Journal, vol. 23, pp. 583-602.

88.      M.S. Yang and K.F. Yu, 1990, On stochastic convergence theorems for the fuzzy c-means clustering procedure, Int. J. of General Systems, vol. 16, pp. 397-411.

 Conferences

1.          M.S. Yang, 2012, On robust possibilistic c-means clustering algorithm, Proceedings of the 11th WSEAS International Conference on Applied Computers and Applied Computational Science, Rovaniemi, Finland, 18-20 April 2012, p. 12. (Invited plenary speaker)

2.          C.N. Wang and M.S. Yang, 2012, T-transitive interval-valued fuzzy relations for clustering, IEEE Proceedings of 2012 International Conference on Computer Distributed Control and Intelligent Enviromental Monitoring, Zhangjiajie, China, 5-6 March 2012, pp. 822-826.

3.          W.L. Hung, M.S. Yang and C.M. Hwang, 2011, Exponential-Distance Weighted K-Means Algorithm with Spatial Constraints for Color Image Segmentation, IEEE Proceedings of 2011 International Conference on Multimedia and Signal Processing, Guilin, China, 13-15 May 2011, pp. 131-135.

4.          C.M. Hwang, M.S. Yang and W.L. Hung, 2011, New similarity and inclusion measures between type-2 fuzzy sets. Proceedings of IEEE Symposium Series on Computational Intelligence, IEEE-SSCI2011 on T2FUZZ-2011, Paris, France, 11-15 April 2011, pp. 82-87.

5.          C.M. Hwang, W.L. Hung and M.S. Yang, 2011, Adaptive weighted k-means algorithm for color image segmentation, Proceedings of the 2011 3rd International Conference on Computer Modeling and Simulation, ICCMS 2011, January 7-9, 2011, Mumbai, India, Vol. 1, pp. 282-286.

6.          S.J. Chang-Chien, M.S. Yang and W.L. Hung, 2010, Mean shift-based clustering for directional data, Proceedings of Third International Workshop on Advanced Computational Intelligence, Suzhou, China, 25-27 August 2010, pp. 367-372.

7.          D.H. Chen, W.L. Hung and M.S. Yang, 2010, A batch version of the SOM for symbolic data, Proceedings of the 2010 Sixth International Conference on Natural Computation, ICNC 2010, Yantai, China, 10-12 August 2010, pp. 1-5.

8.          W.L. Hung and M.S. Yang, 2010, A similarity-based clustering algorithm for fuzzy data, Proceedings of the 2010 IEEE World Congress on Computational Intelligence, FUZZ-IEEE 2010, Barcelona, Spain, 18-23 July 2010, pp. 443-448.

9.          M.S. Yang, 2010, On robust fuzzy clustering and validity indexes, Recent Advances in Neural Networks, Fuzzy Systems & Evolutionary Computing (In: Proceedings of the 11th WSEAS International Conference on Fuzzy Systems), Iasi, Romania, 13-15 June 2010, p. 16. (Invited plenary speaker)

10.      M.S. Yang, J.H Yang and C.Y. Lai, 2010, An integrated control chart pattern recognition system using correlation coefficient method and RBF neural networks, Proceedings of the Sixth IASTED International Conference on Advances in Computer Science and Engineering (ACSE 2010), Sharm El Sheikh, Egypt, 15-17 March 2010, pp. 67-73.

11.      D.H. Chen, M.S. Yang and W.L. Hung, 2009, A modified SOM learning algorithm for mixed types of symbolic and fuzzy data, Proceedings of 2009 WSEAS International Conference on Mathematical Methods and Applied Computing, Athens, Greece, 28-30 September 2009, pp. 150-155.

12.      M.S. Yang and Chih-Ying Lin, 2009, Block fuzzy k-modes clustering algorithm, Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju, Korea, 20-24 August 2009, pp. 384-389.

13.      W.L. Hung, M.S. Yang and D.H. Chen, 2009, Segmentation in MRI of ophthalmology using a robust-type clustering algorithms, Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju, Korea, 20-24 August 2009, pp. 427-430.

14.      M.S. Yang and J.H. Yang, 2009, On parameter estimation of control chart  patterns using RBF neural network, Proceedings of the 4th IEEE Conference on Industrial Electronics and Applications, Xi’an, China, 25-27 May 2009, pp. 1498-1502.

15.      K.L. Wu, M.S. Yang and J.N. Hsieh, 2009, Alternative fuzzy switching regression, Proceedings of International Multi-Conference of Engineers and Computer Scientists 2009, IMECS 2009, Hong Kong, 18-20 March 2009, pp. 761-765.

16.      M.S. Yang and C.Y. Lai, 2008, Entropy-type classification maximum likelihood Method, Proceedings of the Second IASTED Africa Conference on Modelling and Simulation, AfricaMS 2008, Gaborone, Botswana, 8-10 September 2008, pp. 205-209.

17.      W.L. Hung, M.S. Yang and D.H. Chen, 2008, Variation approaches to feature-weight selection and application to fuzzy clustering, Proceedings of the 2008 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2008, Hong Kong, 1-6 June 2008, pp. 276-280.

18.      M.S. Yang, K.C.R. Lin, H.C. Liu and J.F. Lirng, 2008, A fuzzy-soft competitive learning algorithm for ophthalmological MRI segmentation, Proceedings of the 2008 WSEAS International Conference on Applied Computing, Istanbul, Turkey, 27-30 May 2008, pp. 228-232.

19.      M.S. Yang and J.H. Yang, 2007, Control chart pattern recognition using semi-supervised learning, Proceedings of the 7th WSEAS International Conference on Applied Computer Science, Venice, Italy, 21-23 November 2007, pp. 272-276.

20.      D.C. Lin and M.S. Yang, 2007, A similarity measure between type-2 fuzzy sets with its application to clustering, Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD-2007, Haikou, Hainan, China, 24-27 August 2007, vol. 1, pp. 726-731.

21.      W.L. Hung, M.S. Yang and D.H. Chen 2007, Color image segmentation using Cauchy-type fuzzy c-means algorithm, Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD-2007, Haikou, Hainan, China, 24-27 August 2007, vol. 2, pp. 230-234.

22.      M.S. Yang, K.L. Wu and J.N. Hsieh, 2007, Mountain c-regressions in comparing fuzzy c-regressions, Proceedings of the 2007 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2007, London, UK, 23-26 July 2007, pp. 205-210.

23.      M.S. Yang, W.L. Hung and C.H. Chang, 2006, A penalized fuzzy clustering algorithm, Proceedings of the 6th WSEAS International Conference on Applied Computer Science, Tenerife, Canary Islands, Spain, 16-18 December 2006, pp. 13-18.

24.      M.S. Yang, W.L. Hung and T.I. Chung, 2006, Alternative fuzzy c-means clustering algorithms with L1-norm and covariance matrix, Proceedings of the 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006, Antwerp, Belgium, 18-21 September 2006, pp. 654-665.

25.      M.S. Yang and H.S. Tsai, 2005, An alternative fuzzy compactness and separation clustering algorithm, Proceedings of the 7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005, Antwerp, Belgium, pp. 146-153.

26.      M.S. Yang and K.L. Wu, 2004, An unsupervised alternating clustering method Proceedings of the 2^nd IASTED International Conference on Neural Networks and Computational Intelligence, Grindelwald, Switzerland, pp. 269-273.

27.      M.S. Yang, K.L. Wu and J. Yu, 2003, A novel fuzzy clustering algorithm, Proceedings of the 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003, Kobe, Japan, pp. 647-652, July.

28.      M.S. Yang and K.L. Wu, 2002, A possibilistic type of alternative fuzzy c-means, Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2002, Honolulu, USA, pp. 1456-1459, May.

29.      Y.Y. Hong, C.N. Chang-Chien, K.L. Wu and M.S. Yang, 2002, Determination of congestion zones in deregulated electricity markets using fuzzy clustering, Proceeding of the 14th power Systems Computation Conference, PSCC02, Sevilla, Spain, Session 27, paper 2, pp. 1-7.

30.      M.S. Yang and K.L. Wu, 2001, A new validity index for fuzzy clustering, Proceedings of the 10th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2001, Melbourne, Australia, pp. 89-92.

31.      C.C. Hung, M.S. Yang, S.Y. Shin and T.L. Coleman, 2000, Evolution, fuzzy logic, and neural networks in unsupervised training algorithms, Proceedings of the International Association for Computer and Information Science 1^st International Conference, SNPD’00, pp. 464-468.

>>TOP

Teaching

1. Neural Fuzzy Systems (for graduate students);
2. Fuzzy Clustering and Its Applications (for graduate students);
3. Mathematical Statistics (for graduate students);
4. Cluster Analysis (for graduate students);
5. Mathematical Statistics (for undergraduate students);
6. Introduction to Probability (for undergraduate students);
7. Calculus (for undergraduate students).

>>TOP

Students

 >>TOP