A novel belief rule base representation, generation and its inference methodology

Knowledge-Based Systems

Volumn 53, Issue , 2013, Pages 129-141

  Liu, Jun ^a,c   Martinez, Luis ^b   Calzada, Alberto ^a   Wang, Hui ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UNIVERSITY OF JAÉN   (Spain)

^c SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Belief distribution; Decision making; Evidential reasoning approach; Inference mechanisms; Rule based system; Uncertainty

Indexed keywords

BELIEF DISTRIBUTION; EVIDENTIAL REASONING APPROACHES; INFERENCE MECHANISM; RULE-BASED SYSTEM; UNCERTAINTY;

DECISION MAKING; INTELLIGENT SYSTEMS; ITERATIVE METHODS;

KNOWLEDGE BASED SYSTEMS;

EID: 84885423589     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.08.019     Document Type: Article

References (37)

1. P. Angelov, R. Yager, A simple fuzzy rule-based system through vector membership and kernel-based granulation, in: Proc. of 2010 IEEE Int. Conference on Intelligent Systems, London, UK, 7-9 July, 2010, pp. 349-354.
2. J. Augusto, J. Liu, P. McCullagh, H. Wang, and J.B. Yang Management of uncertainty and spatio-temporal aspects for monitoring and diagnosis in a Smart Home International Journal of Computational Intelligence Systems 1 4 2008 361 378
3. L.C. Briand, W.L. Melo, and J. Wust Assessing the applicability of fault-proneness models across object-oriented software projects IEEE Transactions on Software Engineering 28 7 2002 706 720
4. A. Calzada, J. Liu, H. Wang, L. Martinez, An intelligent decision support tool based on belief rule-based inference methodology, in: Proceeding of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2011), Taipei, Taiwan, June 27-30, 2011, pp. 2638-2643.
5. V.U.B. Challagulla, F.B. Bastani, I.-L. Yen, and R.A. Paul Empirical assessment of machine learning based software defect prediction techniques International Journal on Artificial Intelligence Tools 17 2 2008 389 400
6. Y.W. Chen, J.B. Yang, D.L. Xu, Z.J. Zhou, and D.W. Tang Inference analysis and adaptive training for belief rule based systems Expert Systems with Applications 38 10 2011 12845 12860
7. J. Demsar Statistical comparisons of classifiers over multiple data sets Machine Learning Research 7 2006 1 30
8. K. Hornik, M. Stinchcombe, and H. White Multilayer feedforward networks are universal approximators Neural Network 2 1989 359 366
9. 3 fuzzy rule systems from data using evolution strategies IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 29 6 1999 829 845
10. B. Li, H.W. Wang, J.B. Yang, M. Guo, and C. Qi A belief-rule-based inventory control method under nonstationary and uncertain demand Expert Systems with Applications 38 12 2011 14997 15008
11. W.J. Li, J. Liu, H. Wang, A. Calzada, R.M. Rodriquez, and L. Martínez A qualitative decision making model based on belief linguistic rule based inference methodology International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20 1 2012 105 118
12. J. Liu, S.W. Chen, and L. Martinez A belief rule-based generic risk assessment framework B. Vitoriano, J. Montero, D. Ruan, Decision Aid Models for Disaster Management and Emergencies Atlantis Computational Intelligence Systems Series vol. 7 2013 AP/Springer Joint Publisher 145 169
13. J. Liu, L. Martinez, H. Wang, A. Calzada, S.W. Chen, A new belief rule base representation scheme and its generation by learning from examples, in: The 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS2012), Istanbul, Turkey, 27-29th August, 2012.
14. J. Liu, L. Martinez, D. Ruan, R. Rodriguez, and A. Calzada Optimization algorithm for learning consistent belief rule base from examples Journal of Global Optimization 51 2 2011 255 270
15. J. Liu, L. Martínez, H. Wang, R.M. Rodriquez, and V. Novozhilov Computing with words in risk assessment International Journal of Computational Intelligence Systems 3 4 2010 396 419
16. J. Liu, D. Ruan, H. Wang, and L. Martinez Improving IAEA safeguards evaluation through enhanced belief rule-based inference methodology International Journal of Nuclear Knowledge Management 3 3 2009 312 339
17. 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 2008 143 168
18. G.L. Kong, D.L. Xu, R. Body, J.B. Yang, K. Mackway-Jones, and S. Carley A belief rule-based decision support system for clinical risk assessment of cardiac chest pain European Journal of Operational Research 219 3 2012 564 573
19. G.L. Kong, D.L. Xu, X.B. Liu, and J.B. Yang Applying a belief rule base inference methodology to a guideline-based clinical decision support system Expert Systems 26 5 2009 391 408
20. W. Rudin Principles of Mathematical Analysis 1964 McGraw-Hill New York
21. X.S. Si, C.H. Hu, J.B. Yang, and Z.J. Zhou A new prediction model based on belief rule base for system's behaviour prediction IEEE Transactions on Fuzzy Systems 19 4 2011 636 651
22. R. Sun Robust reasoning: integrating rule-based and similarity-based reasoning Artificial Intelligence 75 2 1995 241 295
23. L.X. Wang, and J.M. Mendel Generating fuzzy rules by learning from examples IEEE Transactions on Systems, Man, and Cybernetics 22 6 1992 1414 1427
24. D.L. Xu, J. Liu, J.B. Yang, G.P. Liu, J. Wang, I. Jenkinson, and J. Ren Inference and learning methodology of belief-rule-based expert system for pipeline leak detection Expert Systems with Applications 32 1 2007 103 113
25. R.R. Yager, P.F. Dimitar, Essentials of Fuzzy Modeling and Control, New York, 1994.
26. J.B. Yang Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties European Journal of Operational Research 131 2001 31 61
27. J.B. Yang, and P. Sen A general multi-level evaluation process for hybrid MADM with uncertainty IEEE Transactions on Systems, Man, and Cybernetics 24 10 1994 1458 1473
28. 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 24 1 1994 1 18
29. 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 32 3 2002 289 304
30. J.B. Yang, J. Liu, J. Wang, H.-S. Sii, and H.-W. Wang Belief rule base inference methodology using the evidential reasoning approach - RIMER IEEE Transactions on Systems, Man, and Cybernetics - Part A 36 2 2006 266 285
31. J.B. Yang, J. Liu, D.L. Xu, J. Wang, and H.W. Wang Optimization models for training belief-rule-based systems IEEE Transactions on Systems, Man, and Cybernetics - Part A 37 4 2007 569 585
32. J.B. Yang, Y.M. Wang, D.L. Xu, K.S. Chin, and L. Chatton Belief rule-based methodology for mapping consumer preferences and setting product targets Expert Systems with Applications 39 2012 4749 4759
33. L.A. Zadeh Fuzzy logic Computer 21 4 1988 83 93
34. 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 4 2009 7700 7709
35. 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 2011 3937 3943
36. Z.J. Zhou, C.H. Hu, J.J. Yang, D.L. Xu, and D.H. Zhou Online updating belief-rule-based systems using the RIMER approach IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 41 6 2011 1225 1243
37. Z.J. Zhou, J.B. Yang, C.H. Hu, and D.L. Xu Belief Rule Base Expert Systems and Complex System Modelling 2011 Science Publisher Beijing