-
1
-
-
77957852211
-
A simple fuzzy rule-based system through vector membership and kernel-based granulation
-
7-9 July, London, UK
-
P. Angelov and R. Yager. A simple fuzzy rule-based system through vector membership and kernel-based granulation. In Proc. of 2010 IEEE Int. Conf. on Intelligent Systems, pages 349-354, 7-9 July, London, UK.
-
Proc. of 2010 IEEE Int. Conf. on Intelligent Systems
, pp. 349-354
-
-
Angelov, P.1
Yager, R.2
-
2
-
-
0036589499
-
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
-
J.B. Yang and D.L. Xu. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty, IEEE Trans. on Syst., Man, and Cyber.-Part A, 32(3):289-304, 2002.
-
(2002)
IEEE Trans. on Syst., Man, and Cyber.-Part A
, vol.32
, Issue.3
, pp. 289-304
-
-
Yang, J.B.1
Xu, D.L.2
-
3
-
-
33244478309
-
Belief rule-base inference methodology using the evidential reasoning approach - RIMER
-
J.B. Yang, J. Liu J, J. Wang J, H-S. Sii, H-W. Wang. Belief rule-base inference methodology using the evidential reasoning approach - RIMER, IEEE Trans. on Syst., Man, and Cyber.-Part A, 36(2):266-285, 2006.
-
(2006)
IEEE Trans. on Syst., Man, and Cyber.-Part A
, vol.36
, Issue.2
, pp. 266-285
-
-
Yang, J.B.1
Liu, J.J.2
Wang, J.J.3
Sii, H.-S.4
Wang, H.-W.5
-
4
-
-
8844283593
-
Fuzzy rule-based evidential reasoning approach for safety analysis
-
J. Liu, J.B. Yang, J. Wang, H.S. Sii and Y.M. Wang. Fuzzy rule-based evidential reasoning approach for safety analysis, International Journal of General Systems, 33(2-3): 183-204, 2004.
-
(2004)
International Journal of General Systems
, vol.33
, Issue.2-3
, pp. 183-204
-
-
Liu, J.1
Yang, J.B.2
Wang, J.3
Sii, H.S.4
Wang, Y.M.5
-
5
-
-
34347396971
-
Optimization models for training belief-rule-based systems
-
J.B. Yang, J. Liu, D.L. Xu, J. Wang, and H.W. Wang. Optimization models for training belief-rule-based systems, IEEE Trans. on Syst., Man, and Cyber.-Part A, 37(4): 569-585, 2007.
-
(2007)
IEEE Trans. on Syst., Man, and Cyber.-Part A
, vol.37
, Issue.4
, pp. 569-585
-
-
Yang, J.B.1
Liu, J.2
Xu, D.L.3
Wang, J.4
Wang, H.W.5
-
6
-
-
33748600128
-
Inference and learning methodology of BRB expert system for pipeline leak detection
-
D.L. Xu, J. Liu, J.B. Yang, G.P. Liu, J. Wang, I. Jenkinson, and J. Ren. Inference and learning methodology of BRB expert system for pipeline leak detection, Expert Systems with Applications, 32 (1): 103-113, 2007.
-
(2007)
Expert Systems with Applications
, vol.32
, Issue.1
, pp. 103-113
-
-
Xu, D.L.1
Liu, J.2
Yang, J.B.3
Liu, G.P.4
Wang, J.5
Jenkinson, I.6
Ren, J.7
-
7
-
-
49249121756
-
Self-tuning of fuzzy belief rule bases for engineering system safety analysis
-
J. Liu, J.B. Yang, D. Ruan, L. Martinez, and J. Wang. Self-tuning of fuzzy belief rule bases for engineering system safety analysis, Annals of Operations Research, 163(1): 143-168, 2008.
-
(2008)
Annals of Operations Research
, vol.163
, Issue.1
, pp. 143-168
-
-
Liu, J.1
Yang, J.B.2
Ruan, D.3
Martinez, L.4
Wang, J.5
-
8
-
-
60249092782
-
Online updating belief-rule-based system for pipeline leak detection under expert intervention
-
Z.J. Zhou, C.H. Hu, J.B. Yang, D.L. Xu, and D.H. Zhou, Online updating belief-rule-based system for pipeline leak detection under expert intervention. Expert Systems with Applications, 36(3): 7700-7709, 2008.
-
(2008)
Expert Systems with Applications
, vol.36
, Issue.3
, pp. 7700-7709
-
-
Zhou, Z.J.1
Hu, C.H.2
Yang, J.B.3
Xu, D.L.4
Zhou, D.H.5
-
9
-
-
78650694514
-
Bayesian reasoning approach based recursive algorithm for online updating belief rule based expert system of pipeline leak detection
-
Z.J. Zhou, C.H. Hu, J.B. Yang, D.L. Xu and D.H. Zhou. Bayesian reasoning approach based recursive algorithm for online updating belief rule based expert system of pipeline leak detection, Expert Systems with Applications, 38(4): 3937-3943, 2011.
-
(2011)
Expert Systems with Applications
, vol.38
, Issue.4
, pp. 3937-3943
-
-
Zhou, Z.J.1
Hu, C.H.2
Yang, J.B.3
Xu, D.L.4
Zhou, D.H.5
-
10
-
-
0026943536
-
Generating fuzzy rules by learning from examples
-
L.X. Wang, J.M. Mendel, Generating fuzzy rules by learning from examples, IEEE Trans. on Syst., Man, and Cyber. 22:6 (1992) 1414-1427.
-
(1992)
IEEE Trans. on Syst., Man, and Cyber.
, vol.22
, Issue.6
, pp. 1414-1427
-
-
Wang, L.X.1
Mendel, J.M.2
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