A qualitative decision making model based on belief linguistic rule based inference methodology

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 20, Issue SUPPL. 1, 2012, Pages 105-118

  Li, Wenjiang ^a   Liu, Jun ^b   Wang, Hui ^b   Calzada, Alberto ^b   Rodriguez, Rosa M ^c   Martinez, Luis ^c  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF ULSTER   (United Kingdom)

^c UNIVERSITY OF JAÉN   (Spain)

Author keywords

aggregation; belief rule base; knowledge base; linguistic assessment; Qualitative decision making

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; FUZZY INFERENCE; LINGUISTICS; MARKETING;

BELIEF RULE BASE; DECISION SUPPORTS; DECISION-MAKING MODELING; KNOWLEDGE-BASE; LINGUISTIC ASSESSMENT; LINGUISTIC RULES; MODEL-BASED OPC; QUALITATIVE DECISION MAKING; RULE BASIS; RULE-BASED INFERENCE;

MEMBERSHIP FUNCTIONS;

EID: 84863752763     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488512400089     Document Type: Conference Paper

References (16)

1. L. Ang, C. Dubelaar and B. C. Lee, To trust or not to trust-a model of internet trust from the customer's point of view, in Proc. 14th Bled Electronic Commerce Conference (Bled, Slovenia; 2001), pp. 25-26.
2. S. Benferhat, F.H. khellaf, A. Mokhtari, Product-based causal networks and quantitative possibilistic bases, int. J. Uncertainty, Fuzziness and Knowledge-Based Systems 13(5) (2005) 469-493.
3. A. Calzada, J. Liu, R. M. Rodriguez and L. Martinez, A belief linguistic rule based inference methodology for handling decision making problem in qualitative nature, in Proc. 9th Int. FLINS Conf. on Foundations and Applications of Computational Intelligence (FLINS2010, Chengdu (EMei), China; August 2-4, 2010), pp. 529-534.
4. A. Calzada, J. Liu, H. Wang, L. Martinez and A. Kashyap, An intelligent decision support tool based on belief rule-based inference methodology, in Proc. 2011 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2011, Taipei, Taiwan; June 27-30, 2011), pp. 2638-2643.
5. C. Chakraborty and D. Chakraborty, Fuzzy rule base for consumer trustworthiness in Internet marketing: An interactive fuzzy rule classification approach, intelligent Data Analysis 11 (2007) 339-353.
6. E. D. Cox, The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems, 2nd edn. (Academic Press, 1998).
7. D. Dubois, H. Prade, Unfair coins and necessity measures: towards a possibilistic interpretation of histograms, Fuzzy Sets and Systems 10 (1983) 15-20.
8. J. Liu, J. B. Yang, J. Wang, H. S. Sii and Y. M. Wang, Fuzzy rule-based evidential reasoning approach for safety analysis, int. J. General Systems 33 (2004) 183-204.
9. 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 (2008) 143-168.
10. J. Liu, L. Martinez, H. Wang, R. M. Rodriquez and V. Novozhilov, Computing with words in risk assessment, int. J. Computational Intelligence Systems 3 (2010) 396-419.
11. Y. J. Liu, R. Wang, C.L. Chen, Robust adaptive fuzzy controller design for a class of uncertain nonlinear time-delay systems, int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 19(2) (2011) 329-360.
12. S. Renooi, Probability elicitation for belief networks: issues to consider, The Knowledge Engineering Review 16 (2001) 255-269.
13. 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 (2002) 289-304.
14. J. B. Yang, J. Liu J, J. Wang J, 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 (2006) 266-285.
15. J. B. Yang, J. Liu, D. L. Xu, J. Wang and H. W. Wang, Optimization models for training beliefrule-based systems, IEEE Transactions on Systems, Man, and Cybernetics-Part A 37 (2007) 569-585.
16. L. A. Zadeh, Fuzzy sets, information and Control 8 (1965) 338-353.