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2020 – today
- 2025
[j133]Miin-Shen Yang
, Shazia Parveen:
Sparse Multi-View K-Means Clustering. IEEE Access 13: 46773-46793 (2025)- [j132]Zeeshan Ali, Miin-Shen Yang:
Analysis of Renewable Energies Based on Circular Bipolar Complex Intuitionistic Fuzzy Linguistic Information with Frank Power Aggregation Operators and MABAC Model. Int. J. Comput. Intell. Syst. 18(1): 82 (2025) - [j131]Miin-Shen Yang, Kristina P. Sinaga:
Federated Multi-View K-Means Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2446-2459 (2025) - 2024
- [j130]Muhammad Naveed Jafar, Kainat Muniba Khan, Miin-Shen Yang:
Aggregation Operators on Pythagorean Fuzzy Hypersoft Matrices With Application in the Selection of Wastewater Treatment Plants. IEEE Access 12: 3187-3199 (2024) - [j129]Zeeshan Ali, Miin-Shen Yang:
Circular Pythagorean Fuzzy Hamacher Aggregation Operators With Application in the Assessment of Goldmines. IEEE Access 12: 13070-13087 (2024) - [j128]Muhammad Rahim, Yasir Akhtar, Miin-Shen Yang, Hago E. M. Ali, Azhari A. Elhag:
Improved COPRAS Method With Unknown Weights Under p, q-Quasirung Orthopair Fuzzy Environment: Application to Green Supplier Selection. IEEE Access 12: 69783-69795 (2024) - [j127]Zeeshan Ali, Mehboob Ali, Shi Yin, Miin-Shen Yang:
Novel Aczel-Alsina Power Aggregation Operators for Circular Pythagorean Fuzzy Linguistics With Application to Waste Reduction and Recycling in Green Supply Chain Management. IEEE Access 12: 151710-151727 (2024) - [j126]Miin-Shen Yang, Mehboob Ali:
Distance and Similarity Measures for T-Spherical Fuzzy Sets Based on Hausdorff Distance With Applications in Pattern Recognition and Medical Diagnosis. IEEE Access 12: 195875-195889 (2024) - [j125]Zeeshan Ali, Miin-Shen Yang:
On Circular q-Rung Orthopair Fuzzy Sets with Dombi Aggregation Operators and Application to Symmetry Analysis in Artificial Intelligence. Symmetry 16(3): 260 (2024) - [j124]Shazia Parveen, Miin-Shen Yang:
Sparse Fuzzy C-Means Clustering with Lasso Penalty. Symmetry 16(9): 1208 (2024) - [j123]Josephine Bernadette M. Benjamin, Miin-Shen Yang:
Tensor-Based Possibilistic C-Means Clustering. IEEE Trans. Fuzzy Syst. 32(10): 5939-5950 (2024) - [i2]Miin-Shen Yang, Yasir Akhtar, Mehboob Ali:
On Globular T-Spherical Fuzzy (G-TSF) Sets with Application to G-TSF Multi-Criteria Group Decision-Making. CoRR abs/2403.07010 (2024) - [i1]Yasir Akhtar, Mehboob Ali, Miin-Shen Yang:
Generalized Orbicular (m,n,o) T-Spherical Fuzzy Sets with Hamacher Aggregation Operators and Application to Multi-Criteria Group Decision Making. CoRR abs/2407.01267 (2024) - 2023
- [j122]Wajid Ali, Miin-Shen Yang, Mehboob Ali, Saif Ud-Din:
Fuzzy model-based sparse clustering with multivariate t-mixtures. Appl. Artif. Intell. 37(1) (2023) - [j121]Tahir Mahmood, Jabbar Ahmmad, Zeeshan Ali, Miin-Shen Yang:
Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical Diagnosis. IEEE Access 11: 8674-8688 (2023) - [j120]Miin-Shen Yang, Ishtiaq Hussain:
Unsupervised Multi-View K-Means Clustering Algorithm. IEEE Access 11: 13574-13593 (2023) - [j119]Zeeshan Ali, Tahir Mahmood, Miin-Shen Yang:
Weighted Bonferroni Aggregation Operators on Complex q-Rung Orthopair 2-Tuple Linguistic Variables With Application to Green Supply Chain Management. IEEE Access 11: 139557-139574 (2023) - [j118]Muhammad Riaz, Anam Habib, Muhammad Saqlain, Miin-Shen Yang:
Cubic Bipolar Fuzzy-VIKOR Method Using New Distance and Entropy Measures and Einstein Averaging Aggregation Operators with Application to Renewable Energy. Int. J. Fuzzy Syst. 25(2): 510-543 (2023) - [j117]Miin-Shen Yang, Josephine Bernadette M. Benjamin:
Sparse possibilistic c-means clustering with Lasso. Pattern Recognit. 138: 109348 (2023) - [j116]Zeeshan Ali, Tahir Mahmood, Miin-Shen Yang:
Aczel-Alsina Power Aggregation Operators for Complex Picture Fuzzy (CPF) Sets with Application in CPF Multi-Attribute Decision Making. Symmetry 15(3): 651 (2023) - [c33]Miin-Shen Yang, Shou-Jen Chang-Chien, Yasir Akhtar:
Gaussian-Kernel Neutrosophic C-Means Clustering. FTC (1) 2023: 233-245 - 2022
- [j115]Amir Hussain, Kifayat Ullah, Miin-Shen Yang, Dragan Pamucar:
Aczel-Alsina Aggregation Operators on T-Spherical Fuzzy (TSF) Information With Application to TSF Multi-Attribute Decision Making. IEEE Access 10: 26011-26023 (2022) - [j114]Muhammad Nabeel Abid, Miin-Shen Yang, Hanen Karamti, Kifayat Ullah, Dragan Pamucar:
Similarity Measures Based on T-Spherical Fuzzy Information with Applications to Pattern Recognition and Decision Making. Symmetry 14(2): 410 (2022) - [j113]Abrar Hussain, Kifayat Ullah, Mohammed Nasser Alshahrani, Miin-Shen Yang, Dragan Pamucar:
Novel Aczel-Alsina Operators for Pythagorean Fuzzy Sets with Application in Multi-Attribute Decision Making. Symmetry 14(5): 940 (2022) - [j112]Zahid Hussain, Sahar Abbas, Miin-Shen Yang:
Distances and Similarity Measures of Q-Rung Orthopair Fuzzy Sets Based on the Hausdorff Metric with the Construction of Orthopair Fuzzy TODIM. Symmetry 14(11): 2467 (2022) - [j111]Josephine Bernadette M. Benjamin, Miin-Shen Yang:
Weighted Multiview Possibilistic C-Means Clustering With L2 Regularization. IEEE Trans. Fuzzy Syst. 30(5): 1357-1370 (2022) - 2021
- [j110]Muhammad Saqlain, Muhammad Riaz, Muhammad Adeel Saleem, Miin-Shen Yang:
Distance and Similarity Measures for Neutrosophic HyperSoft Set (NHSS) With Construction of NHSS-TOPSIS and Applications. IEEE Access 9: 30803-30816 (2021) - [j109]Abdul Nasir, Naeem Jan, Miin-Shen Yang, Sami Ullah Khan:
Complex T-Spherical Fuzzy Relations With Their Applications in Economic Relationships and International Trades. IEEE Access 9: 66115-66131 (2021) - [j108]Kristina P. Sinaga, Ishtiaq Hussain, Miin-Shen Yang:
Entropy K-Means Clustering With Feature Reduction Under Unknown Number of Clusters. IEEE Access 9: 67736-67751 (2021) - [j107]Muhammad Naveed Jafar, Muhammad Haris Saeed, Muhammad Saqlain, Miin-Shen Yang:
Trigonometric Similarity Measures for Neutrosophic Hypersoft Sets With Application to Renewable Energy Source Selection. IEEE Access 9: 129178-129187 (2021) - [j106]Jialin Hua, Jian Yu, Miin-Shen Yang:
Star-based learning correlation clustering. Pattern Recognit. 116: 107966 (2021) - [j105]Miin-Shen Yang, Kristina P. Sinaga:
Collaborative feature-weighted multi-view fuzzy c-means clustering. Pattern Recognit. 119: 108064 (2021) - [j104]Shou-Jen Chang-Chien, Yessica Nataliani, Miin-Shen Yang:
Gaussian-kernel c-means clustering algorithms. Soft Comput. 25(3): 1699-1716 (2021) - [j103]Miin-Shen Yang, Zeeshan Ali, Tahir Mahmood:
Complex q-Rung Orthopair Uncertain Linguistic Partitioned Bonferroni Mean Operators with Application in Antivirus Mask Selection. Symmetry 13(2): 249 (2021) - [j102]Miin-Shen Yang, Josephine Bernadette M. Benjamin:
Feature-Weighted Possibilistic c-Means Clustering With a Feature-Reduction Framework. IEEE Trans. Fuzzy Syst. 29(5): 1093-1106 (2021) - 2020
- [j101]Kristina P. Sinaga, Miin-Shen Yang:
Unsupervised K-Means Clustering Algorithm. IEEE Access 8: 80716-80727 (2020) - [j100]Miin-Shen Yang, Zahid Hussain, Mehboob Ali:
Belief and Plausibility Measures on Intuitionistic Fuzzy Sets with Construction of Belief-Plausibility TOPSIS. Complex. 2020: 7849686:1-7849686:12 (2020) - [j99]Jialin Hua, Jian Yu, Miin-Shen Yang:
Fast clustering for signed graphs based on random walk gap. Soc. Networks 60: 113-128 (2020) - [j98]Zeeshan Ali, Tahir Mahmood, Miin-Shen Yang:
Complex T-Spherical Fuzzy Aggregation Operators with Application to Multi-Attribute Decision Making. Symmetry 12(8): 1311 (2020) - [j97]Muhammad Rayees Ahmad, Muhammad Haris Saeed, Usman Afzal, Miin-Shen Yang:
A Novel MCDM Method Based on Plithogenic Hypersoft Sets under Fuzzy Neutrosophic Environment. Symmetry 12(11): 1855 (2020) - [e1]Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Miin-Shen Yang:
Theory and Practice of Natural Computing - 9th International Conference, TPNC 2020, Taoyuan, Taiwan, December 7-9, 2020, Proceedings. Lecture Notes in Computer Science 12494, Springer 2020, ISBN 978-3-030-62999-1 [contents]
2010 – 2019
- 2019
- [j96]Miin-Shen Yang, Kristina P. Sinaga:
A Feature-Reduction Multi-View k-Means Clustering Algorithm. IEEE Access 7: 114472-114486 (2019) - [j95]Zahid Hussian, Miin-Shen Yang:
Distance and similarity measures of Pythagorean fuzzy sets based on the Hausdorff metric with application to fuzzy TOPSIS. Int. J. Intell. Syst. 34(10): 2633-2654 (2019) - [j94]Miin-Shen Yang, Shou-Jen Chang-Chien, Yessica Nataliani:
Unsupervised fuzzy model-based Gaussian clustering. Inf. Sci. 481: 1-23 (2019) - [j93]Yessica Nataliani, Miin-Shen Yang:
Powered Gaussian kernel spectral clustering. Neural Comput. Appl. 31(S-1): 557-572 (2019) - [j92]Miin-Shen Yang, Zahid Hussain:
Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications to multi-criteria decision making and clustering. Soft Comput. 23(14): 5835-5848 (2019) - [c32]Josephine Bernadette M. Benjamin, Ishtiaq Hussain, Miin-Shen Yang:
Possiblistic C-Means Clustering on Directional Data. CISP-BMEI 2019: 1-6 - 2018
- [j91]Miin-Shen Yang, Shou-Jen Chang-Chien, Yessica Nataliani:
A Fully-Unsupervised Possibilistic C-Means Clustering Algorithm. IEEE Access 6: 78308-78320 (2018) - [j90]Miin-Shen Yang, Zahid Hussain:
Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making. Complex. 2018: 2832839:1-2832839:14 (2018) - [j89]Zahid Hussain, Miin-Shen Yang:
Entropy for Hesitant Fuzzy Sets Based on Hausdorff Metric with Construction of Hesitant Fuzzy TOPSIS. Int. J. Fuzzy Syst. 20(8): 2517-2533 (2018) - [j88]Miin-Shen Yang, Chiou-Cherng Yeh:
Fuzzy Generalization and Comparisons for the Rand Index. Int. J. Intell. Syst. 33(5): 901-927 (2018) - [j87]Chao-Ming Hwang, Miin-Shen Yang, Wen-Liang Hung:
New similarity measures of intuitionistic fuzzy sets based on the Jaccard index with its application to clustering. Int. J. Intell. Syst. 33(8): 1672-1688 (2018) - [j86]Jian Yu, Chaomurilige Wang, Miin-Shen Yang:
On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures. Pattern Recognit. 77: 188-203 (2018) - [j85]Miin-Shen Yang, Yessica Nataliani:
A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy. IEEE Trans. Fuzzy Syst. 26(2): 817-835 (2018) - [c31]Kristina P. Sinaga, June-Nan Hsieh, Josephine Bernadette M. Benjamin, Miin-Shen Yang:
Modified Relational Mountain Clustering Method. ICAISC (1) 2018: 690-701 - [c30]Miin-Shen Yang, Shou-Jen Chang-Chien, Yessica Nataliani:
Gaussian-kernel c-means Clustering Algorithms. TPNC 2018: 124-135 - 2017
- [j84]Chiou-Cherng Yeh, Miin-Shen Yang:
Evaluation measures for cluster ensembles based on a fuzzy generalized Rand index. Appl. Soft Comput. 57: 225-234 (2017) - [j83]Miin-Shen Yang, Shou-Jen Chang-Chien, Wen-Liang Hung:
Learning-based EM clustering for data on the unit hypersphere with application to exoplanet data. Appl. Soft Comput. 60: 101-114 (2017) - [j82]Chaomurilige, Jian Yu, Miin-Shen Yang:
Deterministic annealing Gustafson-Kessel fuzzy clustering algorithm. Inf. Sci. 417: 435-453 (2017) - [j81]Miin-Shen Yang, Yessica Nataliani:
Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters. Pattern Recognit. 71: 45-59 (2017) - [c29]Yessica Nataliani, Miin-Shen Yang:
Spectral Clustering for Cell Formation with Minimum Dissimilarities Distance. ICAISC (2) 2017: 126-136 - 2016
- [j80]Miin-Shen Yang, Shou-Jen Chang-Chien, Wen-Liang Hung:
An unsupervised clustering algorithm for data on the unit hypersphere. Appl. Soft Comput. 42: 290-313 (2016) - [j79]Kang-Ping Lu, Shao-Tung Chang, Miin-Shen Yang:
Change-point detection for shifts in control charts using fuzzy shift change-point algorithms. Comput. Ind. Eng. 93: 12-27 (2016) - [j78]Chiou-Cherng Yeh, Miin-Shen Yang:
A Generalization of Rand and Jaccard Indices with Its Fuzzy Extension. Int. J. Fuzzy Syst. 18(6): 1008-1018 (2016) - [j77]Chao-Ming Hwang, Miin-Shen Yang:
Belief and Plausibility Functions on Intuitionistic Fuzzy Sets. Int. J. Intell. Syst. 31(6): 556-568 (2016) - [j76]Shao-Tung Chang, Kang-Ping Lu, Miin-Shen Yang:
Stepwise possibilistic c-regressions. Inf. Sci. 334-335: 307-322 (2016) - 2015
- [j75]Ching-Nan Wang, Miin-Shen Yang:
Cluster Analysis Based on T-transitive Interval-Valued Fuzzy Relations. Int. J. Intell. Syst. 30(10): 1083-1100 (2015) - [j74]Miin-Shen Yang, Ching-Nan Wang:
Clustering Methods Based on Weighted Quasi-Arithmetic Means of T-Transitive Fuzzy Relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(5): 715-734 (2015) - [j73]Miin-Shen Yang, Yi-Cheng Tian:
Bias-correction fuzzy clustering algorithms. Inf. Sci. 309: 138-162 (2015) - [j72]Chaomurilige, Jian Yu, Miin-Shen Yang:
Analysis of Parameter Selection for Gustafson-Kessel Fuzzy Clustering Using Jacobian Matrix. IEEE Trans. Fuzzy Syst. 23(6): 2329-2342 (2015) - [j71]Shao-Tung Chang, Kang-Ping Lu, Miin-Shen Yang:
Fuzzy Change-Point Algorithms for Regression Models. IEEE Trans. Fuzzy Syst. 23(6): 2343-2357 (2015) - [c28]Yessica Nataliani, Chao-Ming Hwang, Miin-Shen Yang:
An Exponential-Type Entropy Measure on Intuitionistic Fuzzy Sets. ICAISC (1) 2015: 218-227 - [c27]Miin-Shen Yang, Yu-Zen Chen, Yessica Nataliani:
Bias-Correction Fuzzy C-Regressions Algorithm. ICAISC (1) 2015: 283-293 - 2014
- [j70]Chao-Ming Hwang, Miin-Shen Yang:
New Similarity Measures Between Generalized Trapezoidal Fuzzy Numbers Using the Jaccard Index. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(6): 831-844 (2014) - [c26]Hsun-Chih Kuo, Miin-Shen Yang, Jenn-Hwai Yang, Yen-Chi Chen:
SCM-driven Tree View for Microarray Data. ICAISC (2) 2014: 207-215 - [c25]Miin-Shen Yang, Shou-Jen Chang-Chien, Hsun-Chih Kuo:
On Mean Shift Clustering for Directional Data on a Hypersphere. ICAISC (2) 2014: 809-818 - 2013
- [j69]Miin-Shen Yang, Chih-Ying Lin, Yi-Cheng Tian:
A robust Fuzzy Classification Maximum likelihood Clustering Framework. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 21(5): 755-776 (2013) - [j68]Jian Yu, Miin-Shen Yang, Pengwei Hao:
Clustering construction on a multimodal probability model. Inf. Sci. 237: 211-220 (2013) - 2012
- [j67]Miin-Shen Yang, Wen-Liang Hung, De-Hua Chen:
Self-organizing map for symbolic data. Fuzzy Sets Syst. 203: 49-73 (2012) - [j66]Chao-Ming Hwang, Miin-Shen Yang, Wen-Liang Hung:
On Similarity, Inclusion Measure and Entropy between Type-2 Fuzzy Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(3): 433-449 (2012) - [j65]Chao-Ming Hwang, Miin-Shen Yang, Wen-Liang Hung, Ming-Gay Lee:
A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition. Inf. Sci. 189: 93-109 (2012) - [j64]Miin-Shen Yang, Chien-Yo Lai, Chih-Ying Lin:
A robust EM clustering algorithm for Gaussian mixture models. Pattern Recognit. 45(11): 3950-3961 (2012) - [j63]Shou-Jen Chang-Chien, Wen-Liang Hung, Miin-Shen Yang:
On mean shift-based clustering for circular data. Soft Comput. 16(6): 1043-1060 (2012) - [c24]Chao-Ming Hwang, Miin-Shen Yang:
Modified Cosine Similarity Measure between Intuitionistic Fuzzy Sets. AICI 2012: 285-293 - [c23]Hsu-Shen Tsai, Wen-Liang Hung, Miin-Shen Yang:
A Robust Kernel-Based Fuzzy C-Means Algorithm by Incorporating Suppressed and Magnified Membership for MRI Image Segmentation. AICI 2012: 744-754 - [c22]Miin-Shen Yang, Hsien-Chun Kuo, Wen-Liang Hung:
A robust clustering algorithm for interval data. FUZZ-IEEE 2012: 1-7 - 2011
- [j62]Wen-Liang Hung, De-Hua Chen, Miin-Shen Yang:
Suppressed fuzzy-soft learning vector quantization for MRI segmentation. Artif. Intell. Medicine 52(1): 33-43 (2011) - [j61]Jian Yu, Miin-Shen Yang, E. Stanley Lee:
Sample-weighted clustering methods. Comput. Math. Appl. 62(5): 2200-2208 (2011) - [j60]Jian Yu, Miin-Shen Yang, Pengwei Hao:
A Novel Multimodal Probability Model for Cluster Analysis. Fundam. Informaticae 111(1): 81-90 (2011) - [j59]Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang:
Feature-Weighted Mountain Method with Its Application to Color Image Segmentation. Int. J. Comput. Intell. Syst. 4(5): 1002-1011 (2011) - [j58]Chao-Ming Hwang, Miin-Shen Yang:
On fuzzy renewal processes for fuzzy random variables and extended theorems. Int. J. Intell. Syst. 26(2): 115-128 (2011) - [j57]Wen-Liang Hung, Miin-Shen Yang, E. Stanley Lee:
Cell formation using fuzzy relational clustering algorithm. Math. Comput. Model. 53(9-10): 1776-1787 (2011) - [j56]Chao-Ming Hwang, Miin-Shen Yang, Wen-Liang Hung, E. Stanley Lee:
Similarity, inclusion and entropy measures between type-2 fuzzy sets based on the Sugeno integral. Math. Comput. Model. 53(9-10): 1788-1797 (2011) - [j55]Chien-Yo Lai, Miin-Shen Yang:
Entropy-type classification maximum likelihood algorithms for mixture models. Soft Comput. 15(2): 373-381 (2011) - [j54]Miin-Shen Yang, Chien-Yo Lai:
A Robust Automatic Merging Possibilistic Clustering Method. IEEE Trans. Fuzzy Syst. 19(1): 26-41 (2011) - [c21]Kuo-Lung Wu, Miin-Shen Yang:
On the generalized fuzzy-valued measures. FSKD 2011: 221-224 - [c20]Chao-Ming Hwang, Miin-Shen Yang, Wen-Liang Hung:
New similarity and inclusion measures between type-2 fuzzy sets. T2FUZZ 2011: 82-87 - 2010
- [j53]Wen-Liang Hung, Miin-Shen Yang, E. Stanley Lee:
A robust clustering procedure for fuzzy data. Comput. Math. Appl. 60(1): 151-165 (2010) - [j52]Miin-Shen Yang, Kuo-Lung Wu, Karen Chia-Ren Lin, Hsiu-Chih Liu, Jiing-Feng Lirng:
On tree types of competitive learning algorithms with their comparisons and applications to MRI segmentation. Int. J. Intell. Syst. 25(11): 1081-1102 (2010) - [j51]Kuo-Lung Wu, Miin-Shen Yang, June-Nan Hsieh:
Mountain c-regressions method. Pattern Recognit. 43(1): 86-98 (2010) - [c19]Hsu-Shen Tsai, Miin-Shen Yang:
A kernel-based fuzzy c-means algorithm with partition index maximization. FSKD 2010: 391-394 - [c18]Wen-Liang Hung, Miin-Shen Yang:
A similarity-based clustering algorithm for fuzzy data. FUZZ-IEEE 2010: 1-6 - [c17]Shou-Jen Chang-Chien, Miin-Shen Yang, Wen-Liang Hung:
Mean shift-based clustering for directional data. IWACI 2010: 367-372 - [c16]De-Hua Chen, Wen-Liang Hung, Miin-Shen Yang:
A batch version of the SOM for symbolic data. ICNC 2010: 1-5 - [c15]Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang:
Feature-Weighted Mountain Method with Its Application to Color Image Segmentation. RSKT 2010: 537-544
2000 – 2009
- 2009
- [j50]Yuh-Yuan Guh, Miin-Shen Yang, Rung-Wei Po, E. Stanley Lee:
Interval-valued fuzzy relation-based clustering with its application to performance evaluation. Comput. Math. Appl. 57(5): 841-849 (2009) - [j49]Miin-Shen Yang, Der-Chen Lin:
On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering. Comput. Math. Appl. 57(6): 896-907 (2009) - [j48]Rung-Wei Po, Yuh-Yuan Guh, Miin-Shen Yang:
A new clustering approach using data envelopment analysis. Eur. J. Oper. Res. 199(1): 276-284 (2009) - [j47]Kuo-Lung Wu, Miin-Shen Yang, June-Nan Hsieh:
Robust cluster validity indexes. Pattern Recognit. 42(11): 2541-2550 (2009) - [c14]Miin-Shen Yang, Chih-Ying Lin:
Block fuzzy k-modes clustering algorithm. FUZZ-IEEE 2009: 384-389 - [c13]Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen:
Segmentation in MRI of ophthalmology using a robust-type clustering algorithm. FUZZ-IEEE 2009: 427-430 - [c12]Jian Yu, Miin-Shen Yang, Pengwei Hao:
A Novel Multimodal Probability Model for Cluster Analysis. RSKT 2009: 397-404 - 2008
- [j46]Yuh-Yuan Guh, Miin-Shen Yang, Rung-Wei Po, E. Stanley Lee:
Establishing performance evaluation structures by fuzzy relation-based cluster analysis. Comput. Math. Appl. 56(2): 572-582 (2008) - [j45]Miin-Shen Yang, Jenn-Hwai Yang:
Machine-part cell formation in group technology using a modified ART1 method. Eur. J. Oper. Res. 188(1): 140-152 (2008) - [j44]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 Syst. 159(4): 390-405 (2008) - [j43]Wen-Liang Hung, Miin-Shen Yang:
On similarity measures between intuitionistic fuzzy sets. Int. J. Intell. Syst. 23(3): 364-383 (2008) - [j42]Chao-Ming Hwang, Miin-Shen Yang:
On Entropy of Fuzzy Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(4): 519-527 (2008) - [j41]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) - [j40]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 Recognit. Lett. 29(9): 1317-1325 (2008) - [j39]Miin-Shen Yang, Hsu-Shen Tsai:
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction. Pattern Recognit. Lett. 29(12): 1713-1725 (2008) - [j38]Miin-Shen Yang, Kuo-Lung Wu, June-Nan Hsieh, Jian Yu:
Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions. IEEE Trans. Syst. Man Cybern. Part B 38(3): 588-603 (2008) - [c11]Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen:
Variation approaches to feature-weight selection and application to fuzzy clustering. FUZZ-IEEE 2008: 276-280 - 2007
- [j37]Wen-Liang Hung, Miin-Shen Yang:
Similarity measures of intuitionistic fuzzy sets based on Lp metric. Int. J. Approx. Reason. 46(1): 120-136 (2007) - [j36]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) - [j35]Kuo-Lung Wu, Miin-Shen Yang:
Mean shift-based clustering. Pattern Recognit. 40(11): 3035-3052 (2007) - [j34]Jian Yu, Miin-Shen Yang:
A Generalized Fuzzy Clustering Regularization Model With Optimality Tests and Model Complexity Analysis. IEEE Trans. Fuzzy Syst. 15(5): 904-915 (2007) - [c10]Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen:
Means Algorithm. FSKD (2) 2007: 230-234 - [c9]Der-Chen Lin, Miin-Shen Yang:
A Similarity Measure between Type-2 Fuzzy Sets with Its Application to Clustering. FSKD (1) 2007: 726-731 - [c8]Miin-Shen Yang, Kuo-Lung Wu, June-Nan Hsieh:
Mountain C-Regressions in Comparing Fuzzy C-Regressions. FUZZ-IEEE 2007: 1-6 - 2006
- [j33]Wen-Liang Hung, Miin-Shen Yang:
An omission approach for detecting outliers in fuzzy regression models. Fuzzy Sets Syst. 157(23): 3109-3122 (2006) - [j32]Wen-Liang Hung, Miin-Shen Yang:
Fuzzy entropy on intuitionistic fuzzy sets. Int. J. Intell. Syst. 21(4): 443-451 (2006) - [j31]Miin-Shen Yang, Kuo-Lung Wu:
Unsupervised possibilistic clustering. Pattern Recognit. 39(1): 5-21 (2006) - [j30]Kuo-Lung Wu, Miin-Shen Yang:
Alternative learning vector quantization. Pattern Recognit. 39(3): 351-362 (2006) - [j29]Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen:
Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation. Pattern Recognit. Lett. 27(5): 424-438 (2006) - [c7]Miin-Shen Yang, Wen-Liang Hung, Tsiung-Iou Chung:
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix. ACIVS 2006: 654-665 - 2005
- [j28]Jenn-Hwai Yang, Miin-Shen Yang:
A control chart pattern recognition system using a statistical correlation coefficient method. Comput. Ind. Eng. 48(2): 205-221 (2005) - [j27]Miin-Shen Yang, Nan-Yi Yu:
Estimation of parameters in latent class models using fuzzy clustering algorithms. Eur. J. Oper. Res. 160(2): 515-531 (2005) - [j26]Wen-Liang Hung, Miin-Shen Yang:
Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation. Fuzzy Sets Syst. 150(3): 561-577 (2005) - [j25]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) - [j24]Miin-Shen Yang, Kuo-Lung Wu:
A modified mountain clustering algorithm. Pattern Anal. Appl. 8(1-2): 125-138 (2005) - [j23]Kuo-Lung Wu, Jian Yu, Miin-Shen Yang:
A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests. Pattern Recognit. Lett. 26(5): 639-652 (2005) - [j22]Kuo-Lung Wu, Miin-Shen Yang:
A cluster validity index for fuzzy clustering. Pattern Recognit. Lett. 26(9): 1275-1291 (2005) - [j21]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) - [j20]Jian Yu, Miin-Shen Yang:
Optimality test for generalized FCM and its application to parameter selection. IEEE Trans. Fuzzy Syst. 13(1): 164-176 (2005) - [j19]Jian Yu, Miin-Shen Yang:
A note on the ICS algorithm with corrections and theoretical analysis. IEEE Trans. Image Process. 14(7): 973-978 (2005) - [c6]Miin-Shen Yang, Hsu-Shen Tsai:
An Alternative Fuzzy Compactness and Separation Clustering Algorithm. ACIVS 2005: 146-153 - 2004
- [j18]Miin-Shen Yang, Pei-Yuan Hwang, De-Hua Chen:
Fuzzy clustering algorithms for mixed feature variables. Fuzzy Sets Syst. 141(2): 301-317 (2004) - [j17]Ying-Yi Hong, Zuei-Tien Chao, Miin-Shen Yang:
A fuzzy multiple linear regression based loss formula in electric distribution systems. Fuzzy Sets Syst. 142(2): 293-306 (2004) - [j16]Miin-Shen Yang, Hwei-Ming Chen:
Fuzzy Class Logistic Regression Analysis. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(6): 761-780 (2004) - [j15]Wen-Liang Hung, Miin-Shen Yang:
Similarity Measures Between Type-2 Fuzzy Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(6): 827-842 (2004) - [j14]Miin-Shen Yang, Kuo-Lung Wu:
A Similarity-Based Robust Clustering Method. IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 434-448 (2004) - [j13]Wen-Liang Hung, Miin-Shen Yang:
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance. Pattern Recognit. Lett. 25(14): 1603-1611 (2004) - [c5]Miin-Shen Yang, Kuo-Lung Wu:
An unsupervised alternating clustering method. Neural Networks and Computational Intelligence 2004: 269-273 - 2003
- [j12]Miin-Shen Yang, Hsien-Hsiung Liu:
Fuzzy least-squares algorithms for interactive fuzzy linear regression models. Fuzzy Sets Syst. 135(2): 305-316 (2003) - [j11]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) - [j10]Kuo-Lung Wu, Miin-Shen Yang:
A fuzzy-soft learning vector quantization. Neurocomputing 55(3-4): 681-697 (2003) - [c4]Miin-Shen Yang, Kuo-Lung Wu, Jian Yu:
A novel fuzzy clustering algorithm. CIRA 2003: 647-652 - [c3]Jian Yu, Miin-Shen Yang:
A Study on a Generalized FCM. RSFDGrC 2003: 390-393 - 2002
- [j9]Miin-Shen Yang, Tzu-Shun Lin:
Fuzzy least-squares linear regression analysis for fuzzy input-output data. Fuzzy Sets Syst. 126(3): 389-399 (2002) - [j8]Kuo-Lung Wu, Miin-Shen Yang:
Alternative c-means clustering algorithms. Pattern Recognit. 35(10): 2267-2278 (2002) - [c2]Miin-Shen Yang, Kuo-Lung Wu:
A possibilistic type of alternative fuzzy c-means. FUZZ-IEEE 2002: 1456-1459 - 2001
- [j7]Miin-Shen Yang, Hsing-Mei Shih:
Cluster analysis based on fuzzy relations. Fuzzy Sets Syst. 120(2): 197-212 (2001) - [c1]Miin-Shen Yang, Kuo-Lung Wu:
A New Validity Index for Fuzzy Clustering. FUZZ-IEEE 2001: 89-92
1990 – 1999
- 1999
- [j6]Miin-Shen Yang, Hsien-Hsiung Liu:
Fuzzy clustering procedures for conical fuzzy vector data. Fuzzy Sets Syst. 106(2): 189-200 (1999) - 1998
- [j5]Miin-Shen Yang, Man-Chun Liu:
On possibility analysis of fuzzy data. Fuzzy Sets Syst. 94(2): 171-183 (1998) - [j4]Miin-Shen Yang, Chien-Hung Chen:
On the edited fuzzy K-nearest neighbor rule. IEEE Trans. Syst. Man Cybern. Part B 28(3): 461-466 (1998) - 1997
- [j3]Miin-Shen Yang, Jinn-Anne Pan:
On fuzzy clustering of directional data. Fuzzy Sets Syst. 91(3): 319-326 (1997) - [j2]Miin-Shen Yang, Cheng-Hsiu Ko:
On cluster-wise fuzzy regression analysis. IEEE Trans. Syst. Man Cybern. Part B 27(1): 1-13 (1997) - 1996
- [j1]Miin-Shen Yang, Cheng-Hsiu Ko:
On a class of fuzzy c-numbers clustering procedures for fuzzy data. Fuzzy Sets Syst. 84(1): 49-60 (1996)
Coauthor Index
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