著作管理系統
發表年月:
從
--
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
1971
1970
1969
1968
1967
1966
1965
1964
1963
1962
1961
1960
1959
1958
1957
1956
1955
1954
1953
1952
1951
1950
年 到
--
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
1971
1970
1969
1968
1967
1966
1965
1964
1963
1962
1961
1960
1959
1958
1957
1956
1955
1954
1953
1952
1951
1950
年
匯出:
Excel格式
期刊論文
Z. Ali; T. Mahmood; M.S. Yang* , “Weighted Bonferroni aggregation operators with complex q-rung orthopair 2-tuple linguistic variables and their application to green supply chain management” ,
2023
,
IEEE Access
, vol.11 , p.139557-139574.
(SCI期刊)
I. Hussain; K.P. Sinaga; M.S. Yang* , “Unsupervised multi-view fuzzy c-means clustering” ,
2023
,
Electronics
, vol.12 , p.1-12.
(SCI期刊)
T. Mahmood; J. Ahmmad; Z. Ali; M.S. Yang* , “Confidence level aggregation operators based on intuitionistic fuzzy rough sets with application in medical diagnosis” ,
2023
,
IEEE Access
, vol.11 , p.8674-8688.
(SCI期刊)
X. Wu*; H. Tan; Z. Zhu; L. Liu; G. Chen; M.S. Yang* , “Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to pattern recognition and medical diagnosis” ,
2023
,
Scientific Reports
, vol.13, article no. 13918 , p.1-17.
(SCI期刊)
M.S. Yang*; J.B.M. Benjamin , “Sparse possibilistic c-means clustering with Lasso” ,
2023
,
Pattern Recognition
, vol.138, article no. 109348 , p.1-17.
(SCI期刊)
Z. Ali; T. Mahmood; M.S. Yang* , “Frank prioritized aggregation operators and WASPAS method based on complex intuitionistic fuzzy sets and their Application in multi-attribute decision making” ,
2023
,
Mathematics
, vol.11, article no. 2058 , p.1-22.
(SCI期刊)
M.S. Yang*; I. Hussain , “Unsupervised multi-view k-means clustering algorithm” ,
2023
,
IEEE Access
, vol.11 , p.13574-13593.
(SCI期刊)
M. Riaz; A. Habib; M. Saqlain; M.S. Yang* , “Cubic bipolar fuzzy VIKOR method using new distance and entropy measures and Einstein averaging aggregation operators with application to renewable energy” ,
2023
,
Int. J. of Fuzzy Systems
, vol.25 , p.510-543.
(SCI期刊)
Z. Ali; T. Mahmood; M.S. Yang* , “Aczel-Alsina power aggregation operators for complex picture fuzzy (CPF) sets with application in CPF multi-attribute decision making” ,
2023
,
Symmetry
, vol.15, no.3, article no. 651 , p.1-21.
(SCI期刊)
W. Ali; M.S. Yang*; M. Ali; S. Ud-Din , “Fuzzy model-based sparse clustering with multivariate t-mixtures” ,
2023
,
Applied Artificial Intelligence
, vol.37, no. 1, e2169299 , p.471-492.
(SCI期刊)
M. Ali; Z. Hussain; M.S. Yang* , “Hausdorff distance and similarity measures for single-valued neutrosophic sets with application in multi-criteria decision making” ,
2023
,
Electronics
, vol.12, no. 1, article no. 201 , p.1-17.
(SCI期刊)
Z. Hussain; S. Abbas; M.S. Yang* , “Distances and similarity measures of q-rung orthopair fuzzy sets based on the Hausdorff metric with the construction of orthopair fuzzy TODIM” ,
2022
,
Symmetry
, vol.14, no. 11, article no. 2467 , p.1-22.
(SCI期刊)
J.B.M. Benjamin; M.S. Yang* , “Weighted multiview possibilistic c-means clustering with L2 regularization” ,
2022
,
IEEE Transactions on Fuzzy Systems
, vol.30, no. 5 , p.1357-1370.
(SCI期刊)
A. Hussain; K. Ullah; M.N. Alshahrani; M.S. Yang*; D. Pamucar , “Novel Aczel-Alsina operators for Pythagorean fuzzy sets with application in multi-attribute decision making” ,
2022
,
Symmetry
, vol.14, no. 5, article no. 940 , p.1-12.
(SCI期刊)
A. Nasir; N. Jan; M.S. Yang*; D. Pamucar; D. Marinkovic; S.U. Khan , “Security risks to petroleum industry: An innovative modeling technique based on novel concepts of complex bipolar fuzzy information” ,
2022
,
Mathematics
, vol.10, no. 7, article no. 1067 , p.1-28.
(SCI期刊)
A. Khan; M.S. Yang*; M. Haq; A.A. Shah; M. Arif , “A new approach for normal parameter reduction using σ-algebraic soft sets and its application in multi-attribute decision making” ,
2022
,
Mathematics
, vol.10, no. 8, article no. 1297 , p.1-17.
(SCI期刊)
A. Hussain; K. Ullah; M.S. Yang*; D. Pamucar , “Aczel-Alsina aggregation operators on T-spherical fuzzy (TSF) information with application to TSF multi-attribute decision making” ,
2022
,
IEEE Access
, vol.10 , p.26011-26023.
(SCI期刊)
M.N. Abid; M.S. Yang*; H. Karamti; K. Ullah; D. Pamucar , “Similarity measures based on T-spherical fuzzy information with applications to pattern recognition and decision making” ,
2022
,
Symmetry
, vol.14, no. 2, article no. 410 , p.1-16.
(SCI期刊)
M.S. Yang*; K.P. Sinaga , “Collaborative feature-weighted multi-view fuzzy c-means clustering” ,
2021
,
Pattern Recognition
, vol.119, article no. 108064 , p.1-15.
(SCI期刊)
M.N. Jafar; M. Saeed; M. Saqlain; M.S. Yang* , “Trigonometric similarity measures for neutrosophic hypersoft sets with application to renewable energy source selection” ,
2021
,
IEEE Access
, vol.9 , p.129178-129187.
(SCI期刊)
A. Nasir; N. Jan; M.S. Yang*; S.U. Khan , “Complex T-spherical fuzzy relations with their applications in economic relationships and international trades” ,
2021
,
IEEE Access
, vol.9 , p.66115-66131.
(SCI期刊)
J. Hua*; J. Yu; M.S. Yang* , “Star-based learning correlation clustering” ,
2021
,
Pattern Recognition
, vol.116, article no. 107966 , p.1-11.
(SCI期刊)
M.S. Yang*; Z. Ali; T. Mahmood , “Three-way decisions based on q-rung orthopair fuzzy 2-tuple linguistic sets with generalized Maclaurin symmetric mean operators” ,
2021
,
Mathematics
, vol.9 , p.1-20.
(SCI期刊)
M.S. Yang*; J.B.M. Benjamin , “Feature-weighted possibilistic c-means clustering with a feature-reduction framework” ,
2021
,
IEEE Transactions on Fuzzy Systems
, vol.29 , p.1093-1106.
(SCI期刊)
K.P. Sinaga; I. Hussian; M.S. Yang* , “Entropy k-means clustering with feature reduction under unknown number of clusters” ,
2021
,
IEEE Access
, vol.9 , p.67736-67751.
(SCI期刊)
S.J. Chang-Chien; Y. Nataliani; M.S. Yang* , “Gaussian-kernel c-means clustering algorithms” ,
2021
,
Soft Computing
, vol.25(3) , p.1699-1716.
(SCI期刊)
M.S. Yang*; Z. Ali; T. Mahmood , “Complex q-rung orthopair uncertain linguistic partitioned Bonferroni mean operators with application in antivirus mask selection” ,
2021
,
Symmetry
, vol.13 (2), Article No. 249 , p.1-23.
(SCI期刊)
M.R. Ahmad; M. Saeed; U. Afzal; M.S. Yang* , “A novel MCDM method based on plithogenic hypersoft sets under fuzzy neutrosophic environment” ,
2020
,
Symmetry
, vol.12, Article No. 1855 , p.1-23.
(SCI期刊)
Z. Ali; T. Mahmood; M.S. Yang* , “TOPSIS method based on complex spherical fuzzy sets with Bonferroni mean operators” ,
2020
,
Mathematics
, vol.8, Article No. 1739 , p.1-19.
(SCI期刊)
Z. Ali; T. Mahmood; M.S. Yang* , “Complex t-spherical fuzzy aggregation operators with application to multi-attribute decision making ” ,
2020
,
Symmetry
, vol.12 (8), Article No. 1311 , p.1-25.
(SCI期刊)
M.S. Yang*; Z. Hussian; M. Ali , “Belief and plausibility measures on intuitionistic fuzzy sets with construction of belief-plausibility TOPSIS” ,
2020
,
Complexity
, vol.2020, Article No. 7849686 , p.1-12.
(SCI期刊)
K.P. Sinaga; M.S. Yang* , “Unsupervised k-means clustering algorithm” ,
2020
,
IEEE Access
, vol.8 , p.80716-80727.
(SCI期刊)
J. Hua*; J. Yu; M.S. Yang* , “Fast clustering for signed graphs based on random walk gap” ,
2020
,
Social Networks
, vol.60 , p.113-128.
(SSCI期刊)
M.S. Yang*; W. Ali , “Fuzzy Gaussian Lasso clustering with application to cancer data” ,
2020
,
Mathematical Bioscience and Engineering
, vol.17 , p.250-265.
(SCI期刊)
M.S. Yang*; K.P. Sinaga , “A feature-reduction multi-view k-means clustering algorithm” ,
2019
,
IEEE Access
, vol.7 , p.114472-114486.
(SCI期刊)
Z. Hussian; M.S. Yang* , “Distance and similarity measures of Pythagorean fuzzy sets based on Hausdorff metric with application to fuzzy TOPSIS” ,
2019
,
International Journal of Intelligent Systems
, vol.34 , p.2633-2654.
(SCI期刊)
M.S. Yang*; S.J. Chang-Chien; Y. Nataliani , “Unsupervised fuzzy model-based Gaussian clustering” ,
2019
,
Information Sciences
, vol.481 , p.1-23.
(SCI期刊)
Y. Nataliani; M.S. Yang* , “Powered Gaussian kernel spectral clustering” ,
2019
,
Neural Computing and Applications
, vol.31, Supplement 1 , p.557-572.
(SCI期刊)
M.S. Yang*; S.J. Chang-Chien; Y. Nataliani , “A fully-unsupervised possibilistic c-means clustering method” ,
2018
,
IEEE Access
, vol.6 , p.78308-78320.
(SCI期刊)
M.S. Yang*; Z. Hussian , “Fuzzy entropy for Pythagorean fuzzy sets with application to multicriterion decision making” ,
2018
,
Complexity
, vol.2018, Article ID 2832839 , p.1-14.
(SCI期刊)
Z. Hussian; M.S. Yang* , “Entropy for hesitant fuzzy sets based on Hausdorff metric with construction of hesitant fuzzy TOPSIS” ,
2018
,
International Journal of Fuzzy Systems
, vol.20 , p.2517-2533.
(SCI期刊)
C.M. Hwang; M.S. Yang*; W.L. Hung , “New similarity measures of intuitionistic fuzzy sets based on the Jaccard index with its application to clustering” ,
2018
,
International Journal of Intelligent Systems
, vol.33 , p.1672-1688.
(SCI期刊)
M.S. Yang*; Y. Nataliani , “A feature-reduction fuzzy clustering algorithm with feature-weighted entropy” ,
2018
,
IEEE Transactions on Fuzzy Systems
, vol.26 , p.817-835.
(SCI期刊)
M.S. Yang*; C.C. Yeh , “Fuzzy generalization and comparisons for the Rand index” ,
2018
,
International Journal of Intelligent Systems
, vol.33 , p.901-927.
(SCI期刊)
J. Yu; C. Chaomurilige; M.S. Yang* , “On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures” ,
2018
,
Pattern Recognition
, vol.77 , p.188-203.
(SCI期刊)
Chaomurilige; J. Yu*; M.S. Yang* , “Deterministic annealing Gustafson-Kessel fuzzy clustering algorithm” ,
2017
,
Information Sciences
, vol.417 , p.435-453.
(SCI期刊)
M.S. Yang*; S.J. Chang-Chien; W.L. Hung , “Learning-based EM clustering for data on the unit hypersphere with application to exoplanet data” ,
2017
,
Applied Soft Computing
, vol.60 , p.101-114.
(SCI期刊)
M.S. Yang*; Y. Nataliani , “Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters” ,
2017
,
Pattern Recognition
, vol.71 , p.45-59.
(SCI期刊)
Y. Nataliani; M.S. Yang* , “Spectral clustering for cell formation with minimum dissimilarities distance” ,
2017
,
Lecture Notes in Computer Science
, vol.10246 , p.126-136.
(EI期刊)
C.C. Yeh; M.S. Yang* , “Evaluation measures for cluster ensembles based on a fuzzy generalized Rand index” ,
2017
,
Applied Soft Computing
, vol.57 , p.225-234.
(SCI期刊)
C.M. Hwang; M.S. Yang* , “Belief and plausibility functions on intuitionistic fuzzy set” ,
2016
,
International Journal of Intelligent Systems
, vol.31 , p.556-568.
(SCI期刊)
M.S. Yang*; S.J. Chang-Chien; W.L. Hung , “An unsupervised clustering algorithm for data on the unit hypersphere” ,
2016
,
Applied Soft Computing
, vol.42 , p.290-313.
(SCI期刊)
C.C. Yeh; M.S. Yang* , “A generalization of Rand and Jaccard indices with its fuzzy extension” ,
2016
,
International Journal of Fuzzy Systems
, vol.18 , p.1008-1018.
(SCI期刊)
S.T Chang; K.P. Lu; M.S. Yang* , “Stepwise possibilistic c-regressions” ,
2016
,
Information Sciences
, vol.334-335 , p.307-322.
(SCI期刊)
K.P. Lu; S.T Chang*; M.S. Yang , “Change-point detection for shifts in control charts using fuzzy shift change-point algorithms” ,
2016
,
Computers & Industrial Engineering
, vol.93 , p.12-27.
(SCI期刊)
S.T Chang; K.P. Lu; M.S. Yang* , “Fuzzy change-point algorithms for regression models” ,
2015
,
IEEE Transactions on Fuzzy Systems
, vol.23 , p.2343-2357.
(SCI期刊)
Chaomurilige; J. Yu*; M.S. Yang* , “Analysis of parameter selection for Gustafson-Kessel fuzzy clustering using Jacobian matrix” ,
2015
,
IEEE Transactions on Fuzzy Systems
, vol.23 , p.2329-2342.
(SCI期刊)
C.N. Wang; M.S. Yang* , “Cluster analysis based on T-transitive interval-valued fuzzy relations” ,
2015
,
International Journal of Intelligent Systems
, vol.30 , p.1083-1100.
(SCI期刊)
W.L. Hung*; S.J. Chang-Chien; M.S. Yang , “An intuitive clustering algorithm for spherical data with application to extrasolar planets” ,
2015
,
Journal of Applied Statistics
, vol.42 , p.2220-2232.
(SCI期刊)
M.S. Yang*; C.N. Wang , “Clustering methods based on weighted quasi-arithmetic means of T-transitive fuzzy relations” ,
2015
,
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
, vol.23 , p.715-733.
(SCI期刊)
M.S. Yang*; Y.C. Tian , “Bias-correction fuzzy clustering algorithms” ,
2015
,
Information Sciences
, vol.309 , p.138-162.
(SCI期刊)
Y. Nataliani; C.M. Hwang; M.S. Yang* , “An exponential-type entropy measure on intuitionistic fuzzy sets” ,
2015
,
Lecture Notes in Computer Science
, vol.LNAI 9119 , p.218-227.
(EI期刊)
C.M. Hwang; M.S. Yang* , “New similarity measures between generalized trapezoidal fuzzy numbers using the Jaccard index” ,
2014
,
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
, vol.22 , p.831-844.
(SCI期刊)
M.S. Yang*; Y.C. Tian; C.Y. Lin , “Robust fuzzy classification maximum likelihood clustering with multivariate t-distributions” ,
2014
,
International Journal of Fuzzy Systems
, vol.16 , p.566-576.
(SCI期刊)
H.C. Kuo; M.S. Yang*; J.H. Yang; Y.C. Chen , “SCM-Driven Tree View for Microarray Data” ,
2014
,
Lecture Notes in Computer Science
, vol.LNAI 8468 , p.207-215.
(EI期刊)
M.S. Yang*; S.J. Chang-Chien; H.C. Kuo , “On Mean Shift Clustering for Directional Data on a Hypersphere” ,
2014
,
Lecture Notes in Computer Science
, vol.LNAI 8468 , p.809-818.
(EI期刊)
M.S. Yang*; C.Y. Lin; Y.C. Tian , “A robust fuzzy classification maximum likelihood clustering framework” ,
2013
,
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
, vol.21 , p.755-776.
(SCI期刊)
C.M. Hwang; M.S. Yang* , “New construction for similarity measures between intuitionistic fuzzy sets based on lower, upper and middle fuzzy sets” ,
2013
,
International Journal of Fuzzy Systems
, vol.15 , p.371-378.
(SCI期刊)
J. Yu; M.S. Yang*; P. Hao , “Clustering construction on a multimodal probability model” ,
2013
,
Information Sciences
, vol.237 , p.211-220.
(SCI期刊)
M.S. Yang*; C.Y. Lai; C.Y. Lin , “A robust EM clustering algorithm for Gaussian mixture models” ,
2012
,
Pattern Recognition
, vol.45 , p.3950-3961.
(SCI期刊)
W.L. Hung*; S.J. Chang-Chien; M.S. Yang , “Self-updating clustering algorithm for estimating the parameters in mixtures of von Mises distributions” ,
2012
,
Journal of Applied Statistics
, vol.39 , p. 2259-2274.
(SCI期刊)
C.M. Hwang; M.S. Yang* , “Modified cosine similarity measure between intuitionistic fuzzy sets” ,
2012
,
Lecture Notes in Computer Science
, vol.LNAI 7530 , p.285-293.
(EI期刊)
M.S. Yang*; W.L. Hung; D.H. Chen , “Self-organizing map for symbolic data” ,
2012
,
Fuzzy Sets and Systems
, vol.203 , p.49-73.
(SCI期刊)
S..J. Chang-Chien; W.L. Hung; M.S. Yang* , “On mean shift-based clustering for circular data” ,
2012
,
Soft Computing
, vol.16 , p.1043-1060.
(SCI期刊)
C.M. Hwang; M.S. Yang*; W.L. Hung , “On similarity, inclusion measure and entropy between type-2 fuzzy sets” ,
2012
,
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
, vol.20 , p.433-449.
(SCI期刊)
C.M. Hwang; M.S. Yang*; W.L. Hung; M.G. Lee , “A similarity measure of intuitionistic fuzzy sets based on Sugeno integral with its application to pattern recognition” ,
2012
,
Information Sciences
, vol.189 , p.93-109.
(SCI期刊)
J. Yu; M.S. Yang*; E.S. Lee , “Sample-weighted clustering methods” ,
2011
,
Computers and Mathematics with Applications
, vol.62 , p.2200-2208.
(SCI期刊)
C.M. Hwang; M.S. Yang*; W.L. Hung; E.S. Lee , “Similarity, inclusion and entropy measures between type-2 fuzzy sets based on the Sugeno integral” ,
2011
,
Mathematical and Computer Modelling
, vol.53 , p.1788-1797.
(SCI期刊)
W.L. Hung*; M.S. Yang; E.S. Lee , “Cell formation using fuzzy relational clustering algorithm” ,
2011
,
Mathematical and Computer Modelling
, vol.53 , p.1776-1787.
(SCI期刊)
W.L. Hung*; D.H. Chen; M.S. Yang , “Suppressed fuzzy-soft learning vector quantization for MRI segmentation” ,
2011
,
Artificial Intelligence in Medicine
, vol.52 , p.33-43.
(SCI期刊)
C.Y. Lai; M.S. Yang* , “Entropy-type classification maximum likelihood algorithms for mixture models ” ,
2011
,
Soft Computing
, vol.15 , p.373-381.
(SCI期刊)
M.S. Yang*; C.Y Lai , “A Robust Automatic Merging Possibilistic Clustering Method” ,
2011
,
IEEE Trans. on Fuzzy Systems
, vol.19 , p.26-41.
(SCI期刊)
C.M. Hwang; M.S. Yang* , “On fuzzy renewal processes for fuzzy random variables and extended theorems” ,
2011
,
International Journal of Intelligent Systems
, vol.26 , p.115-128.
(SCI期刊)
J. Yu*; M.S. Yang; P. Hao , “A novel multimodal probability model for cluster analysis” ,
2011
,
Fundamenta Informaticae
, vol.111 , p.81-90.
(SCI期刊)
M.S. Yang*; K.L. Wu; K.C.R. Lin; H.C. Liu; J.F. Lirng , “On three types of competitive learning algorithms with their comparisons and applications to MRI segmentation” ,
2010
,
International Journal of Intelligent Systems
, vol.25 , p.1081-1102.
(SCI期刊)
W.L. Hung; M.S. Yang*; E.S. Lee , “A robust clustering procedure for fuzzy data” ,
2010
,
Computers and Mathematics with Applications
, vol.60 , p.151-165.
(SCI期刊)
W.L. Hung; M.S. Yang*; J. Yu; C.M. Hwang , “Feature-weighted mountain method with its applications to color image segmentation” ,
2010
,
Lecture Notes in Computer Science
, vol.LNAI 6401 , p.537-544.
(EI期刊)
K.L. Wu; M.S. Yang*; J.N. Hsieh , “Mountain c-regressions method” ,
2010
,
Pattern Recognition
, vol.43 , p.86-98.
(SCI期刊)
R.W. Po; Y.Y. Guh*; M.S. Yang , “A new clustering approach using data envelopment analysis” ,
2009
,
European Journal of Operational Research
, vol.199 , p.276-284.
(SCI期刊)
K.L. Wu*; M.S. Yang; J.N. Hsieh , “Robust cluster validity indexes” ,
2009
,
Pattern Recognition
, vol.42 , p.2541-2550.
(SCI期刊)
Y.Y. Guh*; M.S. Yang; R.W. Po; E.S. Lee , “Interval-valued fuzzy relation-based clustering with its application to performance evaluation” ,
2009
,
Computers and Mathematics with Applications
, vol.57 , p.841-849.
(SCI期刊)
M.S. Yang*; D.C. Lin , “On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering” ,
2009
,
Computers and Mathematics with Applications
, vol.57 , p.896-907.
(SCI期刊)
M.S. Yang*; H.S.Tsai , “A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction” ,
2008
,
Pattern Recognition Letters
, vol.29 , p.1713-1725.
(SCI期刊)
C.M. Hwang; M.S. Yang* , “On entropy of fuzzy sets” ,
2008
,
Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems
, vol.16 , p.519-527.
(SCI期刊)
M. S. Yang*; J. H. Yang , “Machine-part cell formation in group technology using a modified ART1 method” ,
2008
,
European Journal of Operational Research
, vol.188 , p.140-152.
(SCI期刊)
W.L. Hung*; M.S. Yang; D.H. Chen , “Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image segmentation” ,
2008
,
Pattern Recognition Letters
, vol.29 , p.1317-1325.
(SCI期刊)
Y.Y. Guh*; M.S. Yang; R.W. Po; E.S. Lee , “Establishing performance evaluation structures by fuzzy relation-based cluster analysis” ,
2008
,
Computers and Mathematics with Applications
, vol.56 , p.572-582.
(SCI期刊)
M.S. Yang*; K.L. Wu; J.N. Hsieh; J. Yu , “Alpha-cut implemented fuzzy clustering algorithms and switching regressions” ,
2008
,
IEEE Transactions on Systems, Man, and Cybernetics-Part B
, vol.38 , p.588-603.
(SCI期刊)
W.L. Hung*; M.S. Yang , “On the j-divergence of intuitionistic fuzzy sets with its application to pattern recognition” ,
2008
,
Information Sciences
, vol.178 , p.1641-1650.
(SCI期刊)
W.L. Hung; M.S. Yang* , “On similarity measures between intuitionistic fuzzy sets” ,
2008
,
International Journal of Intelligent Systems
, vol. 23 , p.364-383.
(SCI期刊)
M.S. Yang*; Y.H. Chiang; C.C. Chen; C.Y. Lai , “A fuzzy k-partitions model for categorical data and its comparison to the GoM model” ,
2008
,
Fuzzy Sets and Systems
, vol.159 , p.390-405 .
(SCI期刊)
C.M. Hwang; M.S. Yang* , “Generalization of belief and plausibility functions to fuzzy sets based on Sugeno integral” ,
2007
,
International Journal of Intelligent Systems
, vol.22 , p.1215-1228.
(SCI期刊)
K.L. Wu; M.S. Yang* , “Mean shift-based clustering” ,
2007
,
Pattern Recognition
, vol.40 , p.3035-3052.
(SCI期刊)
J. Yu; M.S. Yang* , “A generalized fuzzy clustering regularization model with optimality tests and model complexity analysis” ,
2007
,
IEEE Trans. on Fuzzy Systems
, vol.15 , p.904-915.
(SCI期刊)
W.L. Hung*; M.S. Yang , “Similarity measures of intuitionistic fuzzy sets based on Lp metric” ,
2007
,
International Journal of Approximate Reasoning
, vol.46 , p.120-136.
(SCI期刊)
M.S. Yang*; K.C.R. Lin; H.C. Lin; J.F. Lirng , “Magnetic resonance imaging segmentation techniques using batch-type learning vector quantization algorithms” ,
2007
,
Magnetic Resonance Imaging
, vol.25 , p.265-277.
(SCI期刊)
W.L. Hung*, M.S. Yang , “An omission approach for detecting outliers in fuzzy regression models” ,
2006
,
Fuzzy Sets and Systems
, vol.157 , p.3109-3122.
(SCI期刊)
M.S. Yang*, W.L. Hung, F.J. Cheng , “Mixed-variable fuzzy clustering approach to part family and machine cell formation for GT applications” ,
2006
,
International Journal of Production Economics
, vol.103 , p.185-198.
(SCI期刊)
I.G. Jiang*, L.C. Yeh, W.L. Hung, M.S. Yang , “Data analysis on the extrasolar planets using robust clustering ” ,
2006
,
Monthly Notices of the Royal Astronomical Society
, vol.370 , p.1379-1392.
(SCI期刊)
W.L. Hung, M.S. Yang* , “Fuzzy entropy on intuitionistic fuzzy sets” ,
2006
,
International Journal of Intelligent Systems
, vol.21 , p.443-451.
(SCI期刊)
W.L. Hung*, M.S. Yang and D.H. Chen , “Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation” ,
2006
,
Pattern Recognition Letters
, vol.27 , p.424-438.
(SCI期刊)
K.L. Wu, M.S. Yang* , “Alternative learning vector quantization” ,
2006
,
Pattern Recognition
, vol.39 , p.351-362.
(SCI期刊)
M.S. Yang*; W.L. Hung, C.H. Chang , “A penalized fuzzy clustering algorithm” ,
2006
,
WSEAS Trans. on Computers Research
, vol.1 , p.83-88.
M.S. Yang*; W..L. Hung; T.I. Chung , “Alternative fuzzy c-means clustering algorithms with L1-norm and covariance matrix” ,
2006
,
Lecture Notes in Computer Science
, vol.LNCS 4179 , p.654-665.
M.S. Yang*, K.L. Wu , “Unsupervised possibilistic clustering” ,
2006
,
Pattern Recognition
, vol.39 , p.5-21.
(SCI期刊)
M.S. Yang*, W.L. Hung and S.J. Chang-Chien , “On a similarity measure between LR-type fuzzy numbers and its application to database acquisition” ,
2005
,
International Journal of Intelligent Systems
, vol.20 , p.1001-1016.
(SCI期刊)
K.L. Wu and M.S. Yang* , “A cluster validity index for fuzzy clustering” ,
2005
,
Pattern Recognition Letters
, vol.26 , p.1275-1291.
(SCI期刊)
M.S. Yang* and K.L. Wu , “A modified mountain clustering algorithm” ,
2005
,
Pattern Analysis and Applications
, vol.8 , p.125-138.
(SCI期刊)
M.S. Yang* and C.Y. Lai , “Mixture Poisson regression models for heterogeneous count data based on latent and fuzzy class analysis” ,
2005
,
Soft Computing
, vol.9 , p.519-524.
(SCI期刊)
J. Yu and M.S. Yang* , “A note on the ICS algorithm with corrections and theoretical analysis” ,
2005
,
IEEE Trans. on Image Processing
, vol.14 , p.973-978.
(SCI期刊)
M.S. Yang*; H.S. Tsai , “An alternative fuzzy compactness and separation clustering algorithm” ,
2005
,
Lecture Notes in Computer Science,
, vol.LNCS 3708 , p.146-153.
(EI期刊)
K.L. Wu, J. Yu and M.S. Yang* , “A novel fuzzy clustering algorithm based on a fuzzy scatter matrix with optimality tests” ,
2005
,
Pattern Recognition Letters
, vol.26 , p.639-652.
(SCI期刊)
J.H. Yang and M.S. Yang* , “A control chart pattern recognition system using a statistical correlation coefficient method” ,
2005
,
Computers & Industrial Engineering
, vol.48 , p.205-221.
(SCI期刊)
W.L. Hung and M.S. Yang* , “Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation” ,
2005
,
Fuzzy Sets and Systems
, vol.150 , p.561-577.
(SCI期刊)
J. Yu and M.S. Yang* , “Optimality test for generalized FCM and its application to parameter selection” ,
2005
,
IEEE Trans. on Fuzzy Systems
, vol.13 , p.164-176.
(SCI期刊)
M.S. Yang* and N.Y. Yu , “Estimation of parameters in latent class models using fuzzy clustering algorithms” ,
2005
,
European Journal of Operational Research
, vol.160 , p.515-531.
(SCI期刊)
W.L. Hung* and M.S. Yang , “Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance” ,
2004
,
Pattern Recognition Letters
, vol.25 , p.1603-1611.
(SCI期刊)
W.L. Hung and M.S. Yang* , “Similarity measures between type-2 fuzzy sets” ,
2004
,
Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems
, vol.12 , p.827-841.
(SCI期刊)
M.S. Yang* and H.M. Chen , “Fuzzy class logistic regression analysis” ,
2004
,
Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems
, vol.12 , p.761-780.
(SCI期刊)
M.S. Yang* and K. L. Wu , “A similarity-based robust clustering method” ,
2004
,
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.26 , p.434-448.
(SCI期刊)
Y.Y. Hong*, Z.T. Chao and M.S. Yang , “A fuzzy multiple linear regression based loss formula in electric distribution systems” ,
2004
,
Fuzzy Sets and Systems
, vol.142 , p.293-306.
(SCI期刊)
M.S. Yang*, P. Y. Hwang and D.H. Chen , “Fuzzy clustering algorithms for mixed feature variables” ,
2004
,
Fuzzy Sets and Systems
, vol.141 , p.301-317.
(SCI期刊)
K.L. Wu and M.S. Yang* , “A fuzzy-soft learning vector quantization” ,
2003
,
Neurocomputing
, vol.55 , p.681-697.
(SCI期刊)
K.C.R. Lin, M.S. Yang*, H.C. Liu, J.F. Lirng and P.N. Wang , “Generalized Kohonen’s competitive learning algorithms for ophthalmological MR image segmentation” ,
2003
,
Magnetic Resonance Imaging
, vol.21 , p.863-870.
(SCI期刊)
M.S. Yang*, T.C. Chen and K.L. Wu , “Generalized belief function, plausibility function, and Dempster’s combinational rule to fuzzy sets” ,
2003
,
International Journal of Intelligent Systems
, vol.18 , p.925-937.
(SCI期刊)
M.S. Yang*, H.H. Liu , “Fuzzy least-square algorithms for interactive fuzzy linear regression models” ,
2003
,
Fuzzy Sets and Systems
, vol.135 , p.305-316.
(SCI期刊)
K.L. Wu and M.S. Yang* , “Alternative c-means clustering algorithms” ,
2002
,
Pattern Recognition
, vol.35 , p.2267-2278.
(SCI期刊)
M.S. Yang*; J.H. Yang , “A fuzzy-soft learning vector quantization for control chart pattern recognition” ,
2002
,
International Journal of Production Research
, vol.40 , p.2721-2731.
(SCI期刊)
M.S. Yang*; T.S. Lin , “Fuzzy least-square linear regression analysis for fuzzy input-output data” ,
2002
,
Fuzzy Sets and Systems
, vol.126 , p.389-399.
(SCI期刊)
M.S.Yang*; Y.J.Hu; K.C.R. Lin; C.C.L Lin , “Segmentation techniques for tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms” ,
2002
,
Magnetic Resonance Imaging
, vol.20 , p.173-179.
(SCI期刊)
M.S. Yang*; H.M. Shih , “Cluster analysis based on fuzzy relations” ,
2001
,
Fuzzy Sets and Systems
, vol.120 , p.197-212.
(SCI期刊)
M.S. Yang*; H.H. Liu , “Fuzzy clustering procedures for conical fuzzy vector data” ,
1999
,
Fuzzy Sets and Systems
, vol.106 , p.189-200.
(SCI期刊)
M.S. Yang*; C.H. Chen , “On the edited fuzzy k-nearest neighbor rule” ,
1998
,
IEEE Trans, On Systems, Man and Cybernetics--PartB
, vol.28 , p.461-466.
(SCI期刊)
M.S Yang*; M.C Liu , “On possibility analysis of fuzzy data” ,
1998
,
Fuzzy Sets and Systems
, vol.94 , p.171-183.
(SCI期刊)
M.S. Yang*; J.A. Pan , “ On fuzzy clustering of directional data” ,
1997
,
Fuzzy Sets and Systems
, vol.91 , p.319-326.
(SCI期刊)
M.S. Yang*; C.H. Ko , “On cluster-wise fuzzy regression analysis” ,
1997
,
IEEE Trans. on Systems, Man, and Cybernetics-Part B
, vol.27 , p.1-13.
(SCI期刊)
M.S. Yang*; C.H. Ko , “On a class of fuzzy c-numbers clustering procedures for fuzzy data” ,
1996
,
Fuzzy Sets and Systems
, vol.84 , p.49-60.
(SCI期刊)
M.S. Yang*; C.F. Su , “On parameter estimation for normal mixtures based on fuzzy clustering algorithms” ,
1994
,
Fuzzy Sets and Systems
, vol.68 , p.13-28.
(SCI期刊)
M.S. Yang* , “On asymptotic normality of a class of fuzzy c-means clustering procedures” ,
1994
,
Int. J. of General Systems
, vol.22 , p.391-403.
(SCI期刊)
M.S. Yang*; C.T. Chen , “Convergence rate of the fuzzy generalized nearest neighbor rule” ,
1994
,
Computers and Mathematics with Application
, vol.27 , p.1-8.
(SCI期刊)
M.S. Yang* , “A survey of fuzzy clustering ” ,
1993
,
Mathematical and Computer Modeling
, vol.18 , p.1-16.
(SCI期刊)
M.S. Yang*; C.T. Chen , “On strong consistency of the fuzzy generalized nearest neighbor rule” ,
1993
,
Fuzzy Sets and Systems
, vol.60 , p.273-281.
(SCI期刊)
M.S. Yang* , “On a class of fuzzy classification maximum likelihood procedures” ,
1993
,
Fuzzy Sets and Systems
, vol.57 , p.365-375.
(SCI期刊)
M.S. Yang* , “Convergence properties of the generalized fuzzy c-means clustering algorithms” ,
1993
,
Computers and Mathematics with Applications
, vol.25 , p.3-11.
(SCI期刊)
M.S. Yang*; K.F. Yu , “On existence and strong consistency of a class of fuzzy c-means clustering procedures” ,
1992
,
Cybernetics and Systems
, vol.23 , p.583-602.
(SCI期刊)
M.S. Yang*; K.F. Yu , “On stochastic convergence theorems for the fuzzy c-means clustering procedures” ,
1990
,
Int. J. of General Systems
, vol.16 , p.397-411.
(SCI期刊)
研討會論文
M.S. Yang; S.J. Chang-Chien; Y. Akhtar , “Gaussian-kernel neutrosophic c-means clustering” ,
2023
,
Future Technologies Conference (FTC) 2023
, 2023 /11 /2 ~ 2023 /11 /3 , United States .
M.S. Yang , “Sparse possibilistic c-means clustering with Lasso” ,
2023
,
The 2023 International Experts Summit on Artificial Intelligence and Robotic Technology, IESAIRT 2023 (Invited plenary speaker)
, 2023 /9 /7 ~ 2023 /9 /8 , Japan .
J.B. Benjamin; S. Parveen; M.S. Yang , “Sparse weighted multi-view possibilistic c-means clustering with L1 regularization” ,
2022
,
The 2022 International Conference on Intelligent and Fuzzy Systems, INFUS 2022
, 2022 /7 /19 ~ 2022 /7 /21 , Republic of Turkey .
W. Ali; I. Hussian; M.S. Yang , “Fuzzy model-based robust clustering with multivariate t-mixture distributions” ,
2021
,
The 2021 4th International Conference on Computational Intelligence and Data Engineering (ICCIDE’21)
, 2021 /8 /13 ~ 2021 /8 /14 , Republic of India .
J.N. Hsieh; M. Ali; M.S. Yang , “Subtractive clustering for categorical data with a novel separation difference validity index” ,
2020
,
The 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD’20)
, 2020 /12 /19 ~ 2020 /12 /21 , 大陸地區 .
M.S. Yang , “A feature-reduction fuzzy c-means clustering algorithm” ,
2020
,
The 6th International Conference on Basic Sciences, ICBS-2020 (Keynote Speaker)
, 2020 /11 /4 ~ 2020 /11 /5 , Republic of Indonesia .
J.B.M. Benjamin; I. Hussain; M.S. Yang , “Possibilistic c-means clustering on directional data” ,
2019
,
Proceedings of the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019)
, 2019 /10 /19 ~ 2019 /10 /21 , 大陸地區 .
Y. Nataliani; M.S. Yang , “Feature-weighted fuzzy k-modes clustering” ,
2019
,
Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2019)
, 2019 /3 /23 ~ 2019 /3 /24 , Republic of Maldives .
M.S. Yang; S.J. Chang-Chien; Y. Nataliani , “Gaussian-kernel c-means clustering algorithms” ,
2018
,
Proceedings of the 7th International Conference on Theory and Practice of Natural Computing, TPNC-2018
, 2018 /12 /12 ~ 2018 /12 /14 , Republic of Ireland .
S.J. Chang-Chien; M.S. Yang; Wajid Ali , “A learning-based EM clustering for circular data with unknown number of clusters” ,
2018
,
Proceedings of the International Conference on Advanced Technology Innovation 2018 (ICATI-2018)
, 2018 /6 /27 ~ 2018 /6 /30 , Thailand .
K.P. Sinaga; J.N. Hsieh; J.B.M. Benjamin; M.S. Yang , “Modified relational mountain clustering method” ,
2018
,
The 2018 International Conference on Artificial Intelligence and Soft Computing (ICAISC 2018)
, 2018 /6 /3 ~ 2018 /6 /7 , Republic of Poland .
Y. Nataliani; M.S. Yang , “Spectral clustering for manufacturing cell formation” ,
2017
,
The 19th International Conference on Soft Computing and Applications (ICSCA 2017)
, 2017 /8 /17 ~ 2017 /8 /18 , Portuguese Republic .
Y. Nataliani; M.S. Yang , “Spectral clustering for cell formation with minimum dissimilarities distance” ,
2017
,
The 2017 International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017)
, 2017 /6 /11 ~ 2017 /6 /15 , Republic of Poland .
M.S. Yang , “A similarity-based clustering method for data on the unit hypersphere” ,
2016
,
The 9th European Computing Conference (ECC'16) (Invited plenary speaker)
, 2016 /12 /17 ~ 2016 /12 /19 , Switzerland .
M.S. Yang; R.J. Wong , “A learning-based EM algorithm for t-distribution mixtures” ,
2016
,
2016 Global Conference on Engineering and Applied Science (GCEAS 2016)
, 2016 /7 /19 ~ 2016 /7 /21 , Japan .
W. Weku; M.S. Yang , “Robust GK fuzzy clustering algorithms with cluster core and analysis on parameter selection” ,
2016
,
The 2016 Asian Mathematical Conference (AMC 2016)
, 2016 /7 /25 ~ 2016 /7 /29 , Republic of Indonesia .
M.S. Yang , “Applications of fuzzy clustering in regression models” ,
2016
,
The 6th China Conference on Data Mining (CCDM 2016) (Invited speaker)
, 2016 /5 /20 ~ 2016 /5 /22 , 大陸地區 .
M.S. Yang , “On fuzzy change-point algorithms for regression models” ,
2015
,
Proceedings of the 20th International Conference on Applied Mathematics (AMATH'15) (Invited plenary speaker)
, 2015 /12 /12 ~ 2015 /12 /14 , Hungary .
Y.C. Tian; M.S. Yang , “A learning-based EM algorithm for mixture regression models” ,
2015
,
The 17th International Conference on Modelling, Optimization and Simulation (ICMOS 2015)
, 2015 /7 /9 ~ 2015 /7 /10 , Czech Republic .
M.S. Yang , “On maximum likelihood clustering via multimodal probability model” ,
2014
,
The 8th International Conference on Applied Mathematics, Simulation, Modelling (ASM’14) (Invited plenary speaker)
, 2014 /11 /22 ~ 2014 /11 /24 , Italian Republic .
M.S. Yang; C.Y. Lin; Y.C. Tian , “Fuzzy classification maximum likelihood clustering with t-distributions” ,
2014
,
The 4th International Conference on Mechanics, Simulation and Control (ICMSC2014) (Selected as the best oral presentation of the conference)
, 2014 /6 /20 ~ 2014 /6 /23 , Russia .
M.S. Yang , “Exponential-type robust clustering and its applications to interval data” ,
2014
,
2014 Workshop in Symbolic Data Analysis (SDA 2014) (Invited speaker)
, 2014 /6 /14 ~ 2014 /6 /16 , 中華民國 台灣 .
M.S. Yang; W.L. Hung; S.J. Chang-Chien , “A robust clustering algorithm for directional data” ,
2014
,
International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2014)
, 2014 /2 /4 ~ 2014 /2 /5 , Republic of Indonesia .
M.S. Yang , “Cluster-wise regression analysis using fuzzy set theory” ,
2013
,
Proceedings of 2013 NIMS Hot Topics Workshops on Prediction Using Fuzzy Theory (Invited speaker)
, 2013 /8 /12 ~ 2013 /8 /14 , Republic of Korea .
M.S. Yang; Y.S. Pan , “Sample-weighted fuzzy clustering with regularizations” ,
2013
,
Proceedings of 2013 International Conference on Machine Vision, Image Processing, and Pattern Analysis (ICMVIPPA-2013)
, 2013 /7 /15 ~ 2013 /7 /16 , Sweden .
M.S. Yang , “On robust expectation & maximization clustering algorithm” ,
2013
,
Proceedings of the 12th International Conference on Applied Computer and Applied Computational Science (Invited plenary speaker)
, 2013 /4 /2 ~ 2013 /4 /4 , Malaysia .
M.S. Yang; W.Q. Lin , “A weighted correlation coefficient control chart pattern recognition system” ,
2012
,
IEEE Proceedings of 2012 International Conference on Mechanic Automation and Control Engineering
, 2012 /7 /27 ~ 2012 /7 /29 , 大陸地區 .
M.S. Yang; H.C. Kuo; W.L. Hung , “A robust clustering algorithm for interval data” ,
2012
,
Proceedings of WCCI 2012 IEEE World Congress on Computational Intelligence, FUZZ-IEEE 2012
, 2012 /6 /10 ~ 2012 /6 /15 , Australia .
M.S. Yang , “On robust possibilistic c-means clustering algorithm” ,
2012
,
Proceedings of the 11th WSEAS International Conference on Applied Computer and Applied Computational Science (Invited plenary speaker)
, 2012 /4 /18 ~ 2012 /4 /20 , Republic of Finland .
C.N. Wang; M.S. Yang , “T-transitive interval-valued fuzzy relations for clustering” ,
2012
,
IEEE Proceedings of 2012 International Conference on Computer Distributed Control and Intelligent Enviromental Monitoring
, 2012 /3 /5 ~ 2012 /3 /6 , 大陸地區 .
K.L. Wu; M.S. Yang , “On the generalized fuzzy-valued measures ” ,
2011
,
IEEE Proceedings of 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
, 2011 /7 /26 ~ 2011 /7 /28 , 大陸地區 .
W.L. Hung; M.S. Yang; C.M. Hwang , “Exponential-Distance Weighted K-Means Algorithm with Spatial Constraints for Color Image Segmentation” ,
2011
,
IEEE Proceedings of 2011 International Conference on Multimedia and Signal Processing
, 2011 /5 /13 ~ 2011 /5 /15 , 大陸地區 .
C.M. Hwang; M.S. Yang; W.L. Hung , “New similarity and inclusion measures between type-2 fuzzy sets” ,
2011
,
Proceedings of IEEE Symposium Series on Computational Intelligence, IEEE-SSCI2011 on T2FUZZ-2011
, 2011 /4 /11 ~ 2011 /4 /15 , France .
C.M. Hwang; W.L. Hung; M.S. Yang , “Adaptive weighted k-means algorithm for color image segmentation” ,
2011
,
Proceedings of the 2011 3rd International Conference on Computer Modeling and Simulation
, 2011 /1 /7 ~ 2011 /1 /9 , Republic of India .
S.J. Chang-Chien; M.S. Yang; W.L. Hung , “Mean shift-based clustering for directional data” ,
2010
,
IEEE Proceedings of Third International Workshop on Advanced Computational Intelligence
, 2010 /8 /25 ~ 2010 /8 /27 , 大陸地區 .
D.H. Chen; W.L. Hung; M.S. Yang , “A batch version of the SOM for symbolic data” ,
2010
,
IEEE Proceedings of the 2010 Sixth International Conference on Natural Computation
, 2010 /8 /10 ~ 2010 /8 /12 , 大陸地區 .
M.S. Yang , “On robust fuzzy clustering and validity indexes” ,
2010
,
Proceedings of the 11th WSEAS International Conference on Fuzzy Systems, In: Recent Advances in Neural Networks, Fuzzy Systems & Evolutionary Computing. (Invited plenary speaker)
, 2010 /6 /13 ~ 2010 /6 /15 , Romania .
M.S. Yang; J.H Yang; C.Y. Lai , “An integrated control chart pattern recognition system using correlation coefficient method and RBF neural networks” ,
2010
,
Proceedings of the Sixth IASTED International Conference on Advances in Computer Science and Engineering (ACSE 2010)
, 2010 /3 /15 ~ 2010 /3 /17 , Arab Republic of Egypt .
D.H. Chen; M.S. Yang; W.L. Hung , “A modified SOM learning algorithm for mixed types of symbolic and fuzzy data” ,
2009
,
Proceedings of 2009 WSEAS International Conference on Mathematical Methods and Applied Computing
, 2009 /9 /28 ~ 2009 /9 /30 , Hellenic Republic .
W.L. Hung; M.S. Yang; D.H. Chen , “Segmentation in MRI of ophthalmology using a robust-type clustering algorithms” ,
2009
,
Proceedings of the 2009 IEEE International Conference on Fuzzy Systems
, 2009 /8 /20 ~ 2009 /8 /24 , Republic of Korea .
M.S. Yang; Chih-Ying Lin , “Block fuzzy k-modes clustering algorithm” ,
2009
,
Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009
, 2009 /8 /20 ~ 2009 /8 /24 , Republic of Korea .
M.S. Yang; J.H. Yang , “On parameter estimation of control chart patterns using RBF neural network” ,
2009
,
Proceedings of the 4th IEEE Conference on Industrial Electronics and Applications
, 2009 /5 /25 ~ 2009 /5 /27 , 大陸地區 .
K.L. Wu; M.S. Yang; J.N. Hsieh , “Alternative fuzzy switching regression” ,
2009
,
Proceedings of International Multi-Conference of Engineers and Computer Scientists 2009
, 2009 /3 /18 ~ 2009 /3 /20 , 大陸地區 .
W.L. Hung; M.S. Yang; D.H. Chen , “Variation approaches to feature-weight selection and application to fuzzy clustering” ,
2008
,
2008 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2008
, 2008 /6 /1 ~ 2008 /6 /6 , 大陸地區 .
M.S. Yang; K.C.R. Lin; H.C. Liu; J.F. Lirng , “A fuzzy-soft competitive learning algorithm for ophthalmological MRI segmentation” ,
2008
,
Proceedings of the 2008 WSEAS International Conference on Applied Computing
, 2008 /5 /27 ~ 2008 /5 /30 , Republic of Turkey .
M.S. Yang; J.H. Yang , “Control chart pattern recognition using semi-supervised learning” ,
2007
,
7th WSEAS International Conference on Applied Computer Science
, 2007 /11 /21 ~ 2007 /11 /23 , Italian Republic .
W.L. Hung; M.S. Yang; D.H. Chen , “Color image segmentation using Cauchy-type fuzzy c-means algorithm” ,
2007
,
Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD-2007
, 2007 /8 /24 ~ 2007 /8 /27 , 大陸地區 .
M.S. Yang; K.L. Wu; J.N. Hsieh , “Mountain c-regressions in comparing fuzzy c-regressions” ,
2007
,
Proceedings of 2007 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2007
, 2007 /7 /23 ~ 2007 /7 /26 , United Kingdom .
M.S. Yang, W.L. Hung, C.H. Chang , “A penalized fuzzy clustering algorithm” ,
2006
,
6th WSEAS International Conference on Applied Computer Science
, 2006 /12 /16 ~ 2006 /12 /18 , Spain .
M.S. Yang; W.L. Hung; T.I. Chung , “Alternative fuzzy c-means clustering algorithms with L1-norm and covariance matrix” ,
2006
,
The 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006
, 2006 /9 /18 ~ 2006 /9 /21 , Belgium .
M.S. Yang and H.S. Tsai , “An alternative fuzzy compactness and separation clustering algorithm” ,
2005
,
Proceedings of the 7th International Conference on Advanced Concepts for Intelligent Vision Systems
, 2005 /9 /5 ~ 2005 /9 /8 , Belgium .
M.S. Yang and K.L. Wu , “An unsupervised alternating clustering method” ,
2004
,
2nd IASTED International Conference on Neural Networks and Computational Intelligence
, 2004 /12 /15 ~ 2004 /12 /17 , Switzerland .
M.S. Yang, K.L. Wu and J. Yu , “A novel fuzzy clustering algorithm” ,
2003
,
2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
, 2003 /7 /5 ~ 2003 /7 /7 , Japan .
M.S. Yang and K. L. Wu , “A possibilistic type of alternative fuzzy c-means” ,
2002
,
2002 IEEE International Conference on Fuzzy Systems
, 2002 /5 /12 ~ 2002 /5 /15 , United States .
Y.Y. Hong, C.N. Chang-Chien, K.L. Wu and M.S. Yang , “Determination of congestion zones in deregulated electricity markets using fuzzy clustering” ,
2002
,
14th power Systems Computation Conference
, 2002 /5 /11 ~ 2002 /5 /13 , Spain .
M.S.Yang and K.L. Wu , “A new validity index for fuzzy clustering” ,
2001
,
10th IEEE International Conference on Fuzzy Systems
, 2001 /11 /7 ~ 2001 /11 /10 , Australia .
M.S.Yang and H.M. Chen , “Logistic regression analysis with fuzzy clustering algorithm” ,
2001
,
中華民國第九屆模糊理論與應用研討會
, 2001 /4 /16 ~ 2001 /3 /18 , 中華民國 台灣 .
C.C. Hung, M.S. Yang, S.Y. Shin and T.L. Coleman , “Evolution, fuzzy logic, and neural networks in unsupervised training algorithms” ,
2000
,
International Association for Computer and Information Science 1st International Conference
, 2000 ~ 2000 .
M.S. Yang , “On Classification regression analysis With a Noise Cluster” ,
1997
,
中華民國第五屆模糊理論與應用研討會
, 2002 ~ 2002 .
專書
楊敏生; 楊鎮槐 , “模糊聚類及其應用” , 藍海文化出版 ,
2009
.
技術報告
楊敏生, 劉曼君 , “可能性理論簡介” ,
1996
.
楊敏生 , “模糊理論簡介” ,
1994
.