期刊論文 - 中原大學應用數學系

odecrackΤεχνίτη Νοημοσύνη και Ρομποτική

29 Οκτ 2013 (πριν από 3 χρόνια και 8 μήνες)

72 εμφανίσεις


1

2005/4/20

五、研究成果目錄:(一)論文及著述



期刊論文


⊙五年內著作

1.

W.L. Hung and M.S. Yang, 2006, Similarity measures of intuitionistic fuzzy sets
based on
Lp

metric,

Int. J.
of
Approximate Reasoning.

(Accepted)
(SCI: 0.959)

2.

M.S. Yang, K.C.R. Lin, H.C. Lin and J.F. Lirng, 2006,
M
agnetic
r
esonance
i
maging

segmentation techniques using batch
-
type learning vector quantization
algorithms
, Magnetic Resonance Imaging
. (Accepted)
(SCI:
1.361
)

(NSC
-
93
-
2118
-
M
-
033
-
001)

3.

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.

4.

J. Yu and M.S. Yang, 2006, A generalized fuzzy clustering regularization model
with optimality tests and model complexity analysis.
IEEE Trans. on Fuzzy
Systems

(Accepted)
(SCI: 1.
701
)

(NSC
-
91
-
2118
-
M
-
033
-
001)

5.

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.
(SCI:
1.039
)

6.

M.S. Yang
, W.L. Hung and

T.I. Chung
,

2006,
Alternative
fu
zzy c
-
means

clustering
algorithm
s

with

L
1
-
norm and

covariance

matrix,

Lecture Notes in Computer
Science, vol. LNCS 4179, pp. 654
-
665.

(SCI: 0.402)

7.

I.G. Jiang, L.C. Yeh, W.L. Hung and M.S. Yang, 2006, Data analysis on the
extra
-
solar planets using robust cl
ustering, Monthly Notices of the Royal
Astronomical Society
, vol. 370, no. 3, pp. 1379
-
1392.
(SCI:
5.352
)

(NSC
-
93
-
2118
-
M
-
033
-
001)

8.

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.
(SCI:
1.008
)

(NSC
-
92
-
2118
-
M
-
033
-
001)

9.

W.L. Hung and M.S. Yang, 200
6
,
Fuzzy entropy on

intuitionistic

fuzzy sets
,
International Journal of Intelligent Systems
,
vol. 21, no. 4, pp. 443
-
451.
(SCI:
0.
657
)

10.

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 Recognitio
n
Letters, vol. 27, no. 5, pp. 424
-
438.
(SCI:
1.138
)

11.

K.L. Wu

and

M.S. Yang
,
200
6
,
Alternative learning vector quantization,

Pattern
Recognitio
n, vol. 39, no. 3, pp. 351
-
362.
(SCI
: 2.153
)

12.

M.S. Yang and K.L. Wu, 2006, Unsupervised possibilistic clustering
, Pattern

2

2005/4/20

Recognitio
n, vol. 39, no. 1, pp. 5
-
21.

(SCI: 2.153
)

(NSC
-
93
-
2118
-
M
-
033
-
001)

13.

M.S. Yang

and
K.L. Wu
,

200
5
, A modified mountain

clustering

algorithm
,
Pattern
Analysis
and

Applications
, vol. 8, pp. 125
-
138.
(SCI: 0.
782
)
(NSC
-
89
-
2213
-
E
-

033
-
057)

14.

M.S. Yang
, W.L. Hung and S.J. Chang
-
Chien,

200
5
,

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.
(SCI:
0.
657
)

15.

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. (SCI: 0.402)

16.

J. Yu and M.S. Yang, 200
5
,
A note on the ICS algorithm with corrections and
theoretical analysis
, IEEE Trans. on
Image Processing, vol. 14, no. 7, pp. 973
-
978.

(SCI
:
2.428
)

17.

M.S. Yang and C.Y. Lai, 2005, Mixture Poisson regression models for
heterogeneous count data based on latent and fuzzy class analysis, Soft C
omputing
,
vol. 9, no. 7, pp.519
-
524.
(SCI
: 0.538
)

(NSC
-
89
-
2213
-
E
-
033
-
007)

18.

K.L. Wu

and M.S. Yang, 200
5
,
A clu
ster validity index for fuzzy clustering
,

Pattern
Recognition Letters, vol. 26, no. 9, pp. 1275
-
1291.

(SCI:
1.138
)

(NSC
-
89
-
2118
-
M
-
033
-
001)

19.

K.L. Wu,
J. Yu and M.S. Yang, 200
5
,
A novel fuzzy clustering algorithm based on
a fuzzy scatter matrix with optimalit
y tests
,

Pattern Recognition Letters, vol.26, no.
5, pp. 639
-
652.

(SCI:
1.138
)
(NSC
-
91
-
2118
-
M
-
033
-
001)

20.

J.H
. Yang

and M.S. Yang,

200
5
,

A control chart pattern recognition system using a
statistical correlation coefficient method, Computers & Industrial Engi
neering, vol.
48, no. 2, pp. 205
-
221.
(SCI: 0.
347
)
(NSC 89
-
2213
-
E
-
033
-
057)

21.

J. Yu and M.S. Yang, 200
5
, Optimality test for generalized FCM and its application
to parameter se
le
ction, IEEE Trans. on Fuzzy Systems, vol.

13, no. 1, pp. 164
-
176.
(SCI: 1.
701)

(N
SC
-
90
-
2118
-
M
-
033
-
001)

22.

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.
(SCI:
1.039
)

23.

M.S. Yang and N.Y. Yu, 200
5
, Estimation of pa
rameters in latent class models
using fuzzy clustering algorithms, European Journal of Operation
al

Research,

vol.
160, no. 2, pp. 515
-
531.
(SCI: 0.
824
)

(NSC
-
88
-
2118
-
M
-
033
-
001)

24.

W.L. Hung and M.S. Yang, 2004, Similarity measures between type
-
2 fuzzy sets,
In
t. J. of Uncertainty, Fuzziness and Knowledge
-
Based Systems, vol. 12, no. 6, pp.
827
-
841.
(SCI: 0.
430
)

25.

M.S. Yang and H.M. Chen, 2004, Fuzzy class logistic regression analysis, Int. J. of

3

2005/4/20

Uncertainty, Fuzziness and Knowledge
-
Based Systems, vol. 12, no. 6, p
p. 761
-
780.
(SCI: 0.
430
)
(NSC
-
88
-
2118
-
M
-
033
-
001)

26.

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.
(SCI:
1.138
)

27.

M.S. Yang and K. L. Wu,
200
4
, A similarity
-
based robust clustering method, IEEE
Trans. on Pattern Analysis and Machine Intelligence
, vol. 26, no. 4, pp. 434
-
448.
(SCI:
3.810
)

(NSC
-
90
-
2118
-
M
-
033
-
001)

28.

Y.Y.
Ho
ng, Z.T. Chao and M.S. Yang, 200
4
, A fuzzy multiple linear regression
base
d loss formula in electric distribution systems
,

Fuzzy Sets and Systems
, vol.
142, no. 2, pp. 293
-
306.

(SCI:
1.039
)

29.

M.S. Yang, P. Y. Hwang and D.H. Chen, 200
4
, Fuzzy clustering algorithms for

mixed feature variables, Fuzzy Sets and Systems
, vol. 141, no. 2
, pp. 301
-
317.

(SCI:
1.039
)

(NSC
-
89
-
2118
-
M
-
033
-
004)

30.

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
-
316
l
.


(SCI:
1.039
)

31.

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
.
(SCI: 0.
657
)

(NSC
87
-
2118
-
M
-
033
-
001)

32.

J. Yu and M.S. Yang, 2003, A s
tudy on a generalized FCM, Lecture Notes in
Artificial Intelligence, vol.

2639,
pp.
390
-
393
.
(SCI
: 0.302
)

33.

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
o
phthalmological MR image
s
egmentation, Magnetic Resonance Imaging
, vol.

21
, no. 8
,
pp.
863
-
870
.
(SCI:

1.361
)

(NSC 89
-
2213
-
E
-
033
-
057)

34.

K.L. Wu and M.S. Yang, 2003, A fuzzy
-
soft learning vector quantization,
Neurocomputing
, vol.

55
, no. 10, pp.
681
-
697
.
(SCI: 0.
790
)

(NSC
-
89
-
2118
-
M
-
03
3
-
001)

35.

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
.

(SCI:
1.039
)


(NSC
-
87
-
2118
-
M
-
033
-
01)

36.

M.S. Yang, Y.J.

Hu, K.C.R. Lin and C.C.L Lin,
2002,
S
egmentation techniques for
tissue differentiation in MRI of Ophthalmology using fuzzy clustering algorithms,
Magnetic Resonance Imaging
, vol.

20
, no. 2, pp.

173
-
179
.
(SCI:
1.361
)


(NSC
-
89
-
2213
-
E
-
033
-
007)

37.

K.L. Wu and M.S. Yang,

2002,
Alternative c
-
means clu
stering algorithms, Pattern

4

2005/4/20

Recognition
, vol.

35
, no. 10, pp.

2267
-
2278
.
(SCI:

2.153
)

(NSC
-
88
-
2213
-
E
-
033
-
009)

38.

M.S.

Yang and J.H. Yang,

2002,

A fuzzy
-
soft learning vector quantization for
control chart pattern recognition, International Journal of Productio
n Research
, vol.

40
, no. 12, pp.

2721
-
2731
.
(SCI: 0.
481
)

(NSC

89
-
2118
-
M
-
033
-
004)


⊙其他年份之著作

39.

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.

(SCI)

40.

M.S. Yang and H.H. Liu,

1999,

F
uzzy clustering procedures for conical fuzzy
vector data, Fuzzy Sets and Systems
, vol.

106
, pp.

189
-
200.

(SCI)

(NSC
-
86
-
2115
-
M
-
033
-
013)

41.

M.S. Yang and C.H. Chen,
1998,
On the edited fuzzy k
-
nearest neighbor rule,
IEEE Trans.

on

Systems,

Man and Cybernetics
-
P
art B
, vol.

28
, pp.

461
-
466. (SCI)

(NSC
-
85
-
2121
-
M
-
033
-
001)

42.

M
.S. Yang and M.C. Liu,

1998,

On possibility analysis of fuzzy data, Fuzzy Sets
and Systems
, vol.

94
, pp.

171
-
183. (SCI)


43.

M.
S. Yang and C.H. Ko, 1997, On cluster
-
wise fuzzy regression analysis, IEE
E
Trans. On Systems, Man, and Cybernetics
-
Part B,

vol.

27,
pp.
1
-
13. (SCI)

(
NSC
-
84
-
2213
-
E
-
033
-
003
)

44.

M.S. Yang and J.A. Pan, 1997, On fuzzy clustering of directional data, Fuzzy Sets
and Systems
, vol.

91,
pp.
319
-
326. (SCI)

(
NSC
-
85
-
2121
-
M
-
033
-
001
)

45.

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. (SCI)


(
NSC
-
83
-
0280
-
M
-
033
-
014
)

46.

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. (SCI)

(
NSC
-
81
-
0208
-
M
-
033
-
503
)

47.

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.
(
SCI)

(N
SC
-
82
-
0208
-
M
-
033
-
031
)

48.

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. (SCI)

49.

M.S. Yang and C.T. Chen, 1993, On strong consistency of the fuzz
y generalized
nearest neighbor rule, Fuzzy Sets and Systems
, vol.
60,

pp.

273
-
281. (SCI)

(
NSC
-
81
-
0208
-
M
-
033
-
503
)

50.

M.S. Yang, 1993, A survey of fuzzy clustering, Mathematical and Computer
Modeling
, vol.

18,

pp.

1
-
16. (SCI)


5

2005/4/20

51.

M.S. Yang, 1993, Convergence prope
rties of the generalized fuzzy c
-
means
clustering algorithms, Computers and Mathematics with Applications
, vol.

25,

pp.

3
-
11. (SCI)

(
NSC
-
80
-
0208
-
M
-
033
-
22
)

52.

M.S. Yang, 1993, On a class of fuzzy classification maximum likelihood
procedures, Fuzzy Sets and Sys
tems
, vol.

57,

pp.

365
-
375. (SCI)

53.

M.S. Yang and K.F. Yu, 1992, On existence and strong consistency of a class of
f
uzzy c
-
means clustering procedures, Cybernetics and Systems: An International
Journal,

vol.
23
, pp.

583
-
602. (SCI)

54.

M.S. Yang and K.F. Yu, 1990
, On stochastic convergence theorems for the
f
uzzy
c
-
means clustering procedure, Int. J.

of

General Systems
,

v
ol. 16, pp. 397
-
411.

(SCI)


研討會論文


1.

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, 2006, pp. 13
-
18.

2.

M.S. Yang
, W.L. Hung and

T.I. Chu
ng
,

2006,
Alternative
fuzzy c
-
means

clustering algorithm
s

with

L
1
-
norm and

covariance

matrix,
Proceedings of the
8th International Conference on Advanced Concepts for Intelligent Vision
Systems, ACIVS 2006, Antwerp, Belgium, pp. 654
-
665.

3.

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.

4.

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.

5.

M.S. Yang
,

K.L. Wu

and J. Yu
, 200
3
, A
novel

fuzzy
clustering algo
rithm
,
P
roceedings of the 200
3 IEEE
International
Symposium

on
Computational
Intelligence in Robotics and Automation
,
CIRA

200
3
,
Kobe
,
Japan
, pp.
647
-
652,
July
.

6.

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

7.

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 clusteri
ng,
Proceeding of the 14th power Systems Computation Conference, PSCC02,
Sevilla, Spain, Session 27, paper 2, pp. 1
-
7.

8.

M.S. Yang and H.M. Chen, 2001, Logistic re
gression analysis with fuzzy
clustering algorithm,
中華民國第九屆模糊理論與應用研討會
, pp.74~79.


6

2005/4/20

9.

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, Austr
alia, pp. 89
-
92.

10.

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 Co
nference, SNPD’00, pp. 464
-
468.