Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties.

J. Yang, Y. Wang, D. Xu, and K. Chin. European Journal of Operational Research, 171 (1): 309-343 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Xiliu Yang University of Stuttgart

Bo Xiong University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Chenming Jiang University of Stuttgart

Other publications of authors with the same name

An evidential reasoning based multiple attribute decision making approach under fixed attributes.M. Zhou, X. Liu, W. Xu, and J. Yang. FSKD, page 29-34. IEEE, (2015)A CIMOSA presentation of an integrated product design review framework.K. Chin, J. Lam, J. Chan, K. Poon, and J. Yang. Int. J. Computer Integrated Manufacturing, 18 (4): 260-278 (2005)Belief rule-based system for portfolio optimisation with nonlinear cash-flows and constraints.Y. Chen, S. Poon, J. Yang, D. Xu, D. Zhang, and S. Acomb. European Journal of Operational Research, 223 (3): 775-784 (2012)Feature selection via sensitivity analysis of MLP probabilistic outputs.J. Yang, K. Shen, C. Ong, and X. Li. SMC, page 774-779. IEEE, (2008)Group-based ER-AHP system for product project screening.K. Chin, D. Xu, J. Yang, and J. Lam. Expert Syst. Appl., 35 (4): 1909-1929 (2008)Bayesian reasoning approach based recursive algorithm for online updating belief rule based expert system of pipeline leak detection.Z. Zhou, C. Hu, D. Xu, J. Yang, and D. Zhou. Expert Syst. Appl., 38 (4): 3937-3943 (2011)Belief rule-based inference for predicting trauma outcome.G. Kong, D. Xu, J. Yang, X. Yin, T. Wang, B. Jiang, and Y. Hu. Knowl.-Based Syst., (2016)PROJECT Method for Multiobjective Optimization Based on Gradient Projection and Reference Points.M. Luque, J. Yang, and B. Wong. IEEE Trans. Systems, Man, and Cybernetics, Part A, 39 (4): 864-879 (2009)Belief Rule-Base Inference Methodology Using the Evidential Reasoning Approach - RIMER.J. Yang, J. Liu, J. Wang, H. Sii, and H. Wang. IEEE Trans. Systems, Man, and Cybernetics, Part A, 36 (2): 266-285 (2006)Estimating The Attribute Weights Through Evidential Reasoning And Mathematical Programming.M. Deng, W. Xu, and J. Yang. International Journal of Information Technology and Decision Making, 3 (3): 419-428 (2004)

PUMA

Disambiguation of "Yang, Jian-Bo"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Bo Xiong University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Chenming Jiang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Yang, Jian-Bo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Bo Xiong University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Chenming Jiang University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties.