 | 2010 |
|---|
| 51 |       | Kuo-Lung Wu,
Miin-Shen Yang,
June-Nan Hsieh:
Mountain c-regressions method.
Pattern Recognition 43(1): 86-98 (2010) |
| 2009 |
|---|
| 50 | | Jian Yu,
Miin-Shen Yang,
Pengwei Hao:
A Novel Multimodal Probability Model for Cluster Analysis.
RSKT 2009: 397-404 |
| 49 | | Rung-Wei Po,
Yuh-Yuan Guh,
Miin-Shen Yang:
A new clustering approach using data envelopment analysis.
European Journal of Operational Research 199(1): 276-284 (2009) |
| 48 | | Kuo-Lung Wu,
Miin-Shen Yang,
June-Nan Hsieh:
Robust cluster validity indexes.
Pattern Recognition 42(11): 2541-2550 (2009) |
| 2008 |
|---|
| 47 | | Miin-Shen Yang,
Jenn-Hwai Yang:
Machine-part cell formation in group technology using a modified ART1 method.
European Journal of Operational Research 188(1): 140-152 (2008) |
| 46 | | Miin-Shen Yang,
Yu-Hsuan Chiang,
Chiu-Chi Chen,
Chien-Yo Lai:
A fuzzy k-partitions model for categorical data and its comparison to the GoM model.
Fuzzy Sets and Systems 159(4): 390-405 (2008) |
| 45 | | Miin-Shen Yang,
Kuo-Lung Wu,
June-Nan Hsieh,
Jian Yu:
Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(3): 588-603 (2008) |
| 44 | | Wen-Liang Hung,
Miin-Shen Yang:
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition.
Inf. Sci. 178(6): 1641-1650 (2008) |
| 43 | | Wen-Liang Hung,
Miin-Shen Yang:
On similarity measures between intuitionistic fuzzy sets.
Int. J. Intell. Syst. 23(3): 364-383 (2008) |
| 42 | | Chao-Ming Hwang,
Miin-Shen Yang:
On Entropy of Fuzzy Sets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(4): 519-527 (2008) |
| 41 | | Miin-Shen Yang,
Hsu-Shen Tsai:
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction.
Pattern Recognition Letters 29(12): 1713-1725 (2008) |
| 40 | | Wen-Liang Hung,
Miin-Shen Yang,
De-Hua Chen:
Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation.
Pattern Recognition Letters 29(9): 1317-1325 (2008) |
| 2007 |
|---|
| 39 | | Der-Chen Lin,
Miin-Shen Yang:
A Similarity Measure between Type-2 Fuzzy Sets with Its Application to Clustering.
FSKD (1) 2007: 726-731 |
| 38 | | Wen-Liang Hung,
Miin-Shen Yang,
De-Hua Chen:
Means Algorithm.
FSKD (2) 2007: 230-234 |
| 37 | | Miin-Shen Yang,
Kuo-Lung Wu,
June-Nan Hsieh:
Mountain C-Regressions in Comparing Fuzzy C-Regressions.
FUZZ-IEEE 2007: 1-6 |
| 36 | | Jian Yu,
Miin-Shen Yang:
A Generalized Fuzzy Clustering Regularization Model With Optimality Tests and Model Complexity Analysis.
IEEE T. Fuzzy Systems 15(5): 904-915 (2007) |
| 35 | | Chao-Ming Hwang,
Miin-Shen Yang:
Generalization of belief and plausibility functions to fuzzy sets based on the sugeno integral.
Int. J. Intell. Syst. 22(11): 1215-1228 (2007) |
| 34 | | Kuo-Lung Wu,
Miin-Shen Yang:
Mean shift-based clustering.
Pattern Recognition 40(11): 3035-3052 (2007) |
| 2006 |
|---|
| 33 | | Miin-Shen Yang,
Wen-Liang Hung,
Tsiung-Iou Chung:
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix.
ACIVS 2006: 654-665 |
| 32 | | Wen-Liang Hung,
Miin-Shen Yang:
An omission approach for detecting outliers in fuzzy regression models.
Fuzzy Sets and Systems 157(23): 3109-3122 (2006) |
| 31 | | Wen-Liang Hung,
Miin-Shen Yang:
Fuzzy entropy on intuitionistic fuzzy sets.
Int. J. Intell. Syst. 21(4): 443-451 (2006) |
| 30 | | Miin-Shen Yang,
Kuo-Lung Wu:
Unsupervised possibilistic clustering.
Pattern Recognition 39(1): 5-21 (2006) |
| 29 | | Kuo-Lung Wu,
Miin-Shen Yang:
Alternative learning vector quantization.
Pattern Recognition 39(3): 351-362 (2006) |
| 28 | | Wen-Liang Hung,
Miin-Shen Yang,
De-Hua Chen:
Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation.
Pattern Recognition Letters 27(5): 424-438 (2006) |
| 2005 |
|---|
| 27 | | Miin-Shen Yang,
Hsu-Shen Tsai:
An Alternative Fuzzy Compactness and Separation Clustering Algorithm.
ACIVS 2005: 146-153 |
| 26 | | Miin-Shen Yang,
Nan-Yi Yu:
Estimation of parameters in latent class models using fuzzy clustering algorithms.
European Journal of Operational Research 160(2): 515-531 (2005) |
| 25 | | Wen-Liang Hung,
Miin-Shen Yang:
Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation.
Fuzzy Sets and Systems 150(3): 561-577 (2005) |
| 24 | | Jian Yu,
Miin-Shen Yang:
Optimality test for generalized FCM and its application to parameter selection.
IEEE T. Fuzzy Systems 13(1): 164-176 (2005) |
| 23 | | Jian Yu,
Miin-Shen Yang:
A note on the ICS algorithm with corrections and theoretical analysis.
IEEE Transactions on Image Processing 14(7): 973-978 (2005) |
| 22 | | Miin-Shen Yang,
Wen-Liang Hung,
Shou-Jen Chang-Chien:
On a similarity measure between LR-type fuzzy numbers and its application to database acquisition.
Int. J. Intell. Syst. 20(10): 1001-1016 (2005) |
| 21 | | Miin-Shen Yang,
Kuo-Lung Wu:
A modified mountain clustering algorithm.
Pattern Anal. Appl. 8(1-2): 125-138 (2005) |
| 20 | | Kuo-Lung Wu,
Jian Yu,
Miin-Shen Yang:
A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests.
Pattern Recognition Letters 26(5): 639-652 (2005) |
| 19 | | Kuo-Lung Wu,
Miin-Shen Yang:
A cluster validity index for fuzzy clustering.
Pattern Recognition Letters 26(9): 1275-1291 (2005) |
| 18 | | Miin-Shen Yang,
Chien-Yo Lai:
Mixture Poisson regression models for heterogeneous count data based on latent and fuzzy class analysis.
Soft Comput. 9(7): 519-524 (2005) |
| 2004 |
|---|
| 17 |  | Miin-Shen Yang,
Kuo-Lung Wu:
An unsupervised alternating clustering method.
Neural Networks and Computational Intelligence 2004: 269-273 |
| 16 | | Miin-Shen Yang,
Pei-Yuan Hwang,
De-Hua Chen:
Fuzzy clustering algorithms for mixed feature variables.
Fuzzy Sets and Systems 141(2): 301-317 (2004) |
| 15 | | Ying-Yi Hong,
Zuei-Tien Chao,
Miin-Shen Yang:
A fuzzy multiple linear regression based loss formula in electric distribution systems.
Fuzzy Sets and Systems 142(2): 293-306 (2004) |
| 14 | | Miin-Shen Yang,
Kuo-Lung Wu:
A Similarity-Based Robust Clustering Method.
IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 434-448 (2004) |
| 13 | | Miin-Shen Yang,
Hwei-Ming Chen:
Fuzzy Class Logistic Regression Analysis.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(6): 761-780 (2004) |
| 12 | | Wen-Liang Hung,
Miin-Shen Yang:
Similarity Measures Between Type-2 Fuzzy Sets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(6): 827-842 (2004) |
| 11 | | Wen-Liang Hung,
Miin-Shen Yang:
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance.
Pattern Recognition Letters 25(14): 1603-1611 (2004) |
| 2003 |
|---|
| 10 | | Jian Yu,
Miin-Shen Yang:
A Study on a Generalized FCM.
RSFDGrC 2003: 390-393 |
| 9 | | Miin-Shen Yang,
Hsien-Hsiung Liu:
Fuzzy least-squares algorithms for interactive fuzzy linear regression models.
Fuzzy Sets and Systems 135(2): 305-316 (2003) |
| 8 | | Miin-Shen Yang,
Tsang-Chih Chen,
Kuo-Lung Wu:
Generalized belief function, plausibility function, and Dempster's combinational rule to fuzzy sets.
Int. J. Intell. Syst. 18(8): 925-937 (2003) |
| 7 | | Kuo-Lung Wu,
Miin-Shen Yang:
A fuzzy-soft learning vector quantization.
Neurocomputing 55(3-4): 681-697 (2003) |
| 2002 |
|---|
| 6 | | Miin-Shen Yang,
Tzu-Shun Lin:
Fuzzy least-squares linear regression analysis for fuzzy input-output data.
Fuzzy Sets and Systems 126(3): 389-399 (2002) |
| 5 | | Kuo-Lung Wu,
Miin-Shen Yang:
Alternative c-means clustering algorithms.
Pattern Recognition 35(10): 2267-2278 (2002) |
| 2001 |
|---|
| 4 | | Miin-Shen Yang,
Kuo-Lung Wu:
A New Validity Index for Fuzzy Clustering.
FUZZ-IEEE 2001: 89-92 |
| 3 | | Miin-Shen Yang,
Hsing-Mei Shih:
Cluster analysis based on fuzzy relations.
Fuzzy Sets and Systems 120(2): 197-212 (2001) |
| 1998 |
|---|
| 2 | | Miin-Shen Yang,
Chien-Hung Chen:
On the edited fuzzy K-nearest neighbor rule.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(3): 461-466 (1998) |
| 1997 |
|---|
| 1 | | Miin-Shen Yang,
Cheng-Hsiu Ko:
On cluster-wise fuzzy regression analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(1): 1-13 (1997) |
