An optimal learning method for constructing belief rule bases

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 1, Issue , 2004, Pages 994-999

  Yang, Jian Bo ^a,d   Liu, Jun ^a   Wang, Jin ^b   Liu, Guo Ping ^c   Wang, Hong Wei ^d  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF GLAMORGAN   (United Kingdom)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Belief rule base; Inference; MATLAB; Optimization; The evidential reasoning approach; Uncertainty

Indexed keywords

BRIEF RULE BASE; EVIDENTIAL REASONING APPROACHES; INFERENCE; MATLAB; UNCERTAINTY;

ACCIDENT PREVENTION; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; NUMERICAL METHODS; OPTIMIZATION;

LEARNING SYSTEMS;

EID: 15744378821     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1398434     Document Type: Conference Paper

References (9)

1. T. Coleman, M.A. Branch, and A. Grace, Optimization Toolbox- for Use with Matlab, The Mathworks Inc., 1999.
2. J. Hodges, S. Bridge, and S.Y. Yie, Preliminary Results in the Use of Fuzzy Logic for Radiological Waste Characterization Expert System, Technical Report MSU-960626, Mississippi State Univ., June 26, 1996.
3. J. Liu, J.B. Yang, J. Wang, H.S. Sii, Y.M. Wang, "Fuzzy rule-based evidential reasoning approach for safety analysis", International Journal of General Systems, Vol. 33, No. 2-3, pp. 183-204, 2004.
4. Y.M. Wang, J.B. Yang and D.L. Xu, "Environmental impact assessment using the evidential reasoning approach", accepted by European Journal of Operational Research.
5. J.B. Yang and M.G. Singh, "An evidential reasoning approach for multiple attribute decision making with uncertainty", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 24, No.1, pp. 1-18, 1994.
6. J.B Yang, "Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties", European Journal of Operational Research, Vol. 131, pp. 31-61, 2001.
7. J.B. Yang and D.L. Xu, "On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty", IEEE Transactions on Systems, Man, and Cybernetics-Part A, Vol.32, No.3, PP. 289-304, 2002.
8. J.B. Yang and D.L. Xu, "Nonlinear information aggregation via evidential reasoning in multi-attribute decision analysis under uncertainty", IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, Vol.32, No.3, pp. 376-393, 2002.
9. J.B. Yang, J. Liu, J. Wang, and H.S. Sii, "A belief rule-base inference methodology using the evidential reasoning approach - RIMER", accepted by IEEE Transactions on Systems, Man, and Cybernetics.