An improved extension of the D-S evidence theory to fuzzy sets

Proc. - The 3rd Int. Multi-Conf. Computing in the Global Information Technology, ICCGI 2008 in Conjunction with ComP2P 2008: The 1st Int. Workshop on Computational P2P Networks: Theory and Practice

Volumn , Issue , 2008, Pages 148-153

  Miao, Y Z ^a,b   Ma, X P ^a   Zhang, H X ^b   Zhang, J W ^b   Zhao, Z X ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; INFORMATION TECHNOLOGY; LAWS AND LEGISLATION; TECHNOLOGY;

BELIEF FUNCTION; COMBINATION RULES; D-S EVIDENCE THEORY; DECISION SYSTEMS; EVIDENCE THEORY; EVIDENTIAL REASONING; FUZZY DATA; GLOBAL INFORMATION TECHNOLOGY; MATHEMATICAL PROOFS; NUMERICAL EXPERIMENTS; P2P NETWORKS; SIMILARITY DEGREE;

SET THEORY;

EID: 52249108709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCGI.2008.44     Document Type: Conference Paper

References (13)

1. S.L Chen, J.G.Li, X.G.Wang, Fuzzy set theory and its application, Science publish company, Beijing, 2005.
2. Z.G.Lin, Study on Information Fusion Based on Evidence Theory and its Application in Water Quality Monitoring. Ph.D. thesis, Nanjing Hohai University, 2005.
3. M.Ishizuka, K.S.Fu, J.Yao, "Inference procedures under uncertainty for the problem-reduction method". Information Science, Vol.28(3), 1982, pp. 179-206.
4. H. Ogawa, K. S. Fu. "An inexact inference for damage assessment of existing structures". International Journal of Man-Machine Studies, Vol.22, 1985, pp.295-306.
5. R.Yager "Generalized probabilities of fuzzy events from fuzzy belief structures". Information Science, Vol.28, 1982, pp. 45-62.
6. M.S.Yang, T.C.Chen, K.L.Wu, "Generalized belief function, plausibility function, and Dempster's combinational rule to fuzzy sets". International Journal of Intelligent Systems, Vol.18, 2003, pp.925-937.
7. R.Haenni, "Are alternatives to Dempster's rule of combination real alternatives? Comments on "About the belief function combination and the conflict management problem"". Information Fusion, Vol.3 (4), 2002, pp.237-239.
8. L. Li, Z.G. Li, Q.M. Zhao, H.J.Zhang, "An Algorithm of General Closeness Degree Based on Evidence Theory and Its Applications in Fuzzy Pattern Recognition". The 9th International Conference on Control, Automation, Robotics and Vision, ICARCV '06, 5-8 Dec. 2006, pp. 1 - 5.
9. H.S.Su, Q.Z. Li, "Transformer Insulation Fault Diagnosis Method Based on Rough Set and Fuzzy Set and Evidence Theory". The Sixth World Congress on Intelligent Control and Automation, Vol.2, 21-23 June, 2006, pp.5442-5446.
10. H.Zhu, O.Basir, "A K-NN associated fuzzy evidential reasoning classifier with adaptive neighbor selection". The Third IEEE International Conference on Data Mining, ICDM 2003, 19-22 Nov. 2003, pp.709-712.
11. H.Zhu, O.Basir, "A scheme for constructing evidence structures in Dempster-Shafer evidence theory for data fusion". Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, Vol.2, 16-20 July, 2003, pp.960-965.
12. D.Brucq, O.Colot, A.Sombo, "Identical foundation of probability theory and fuzzy set theory". Proceedings of the Fifth International Conference on Information Fusion, Vol. 2, 8-11 July, 2002, pp. 1442-1449.
13. J.Yen. "Generalizing the D-S theory to fuzzy set". IEEE Transactions on System, Man, and Cybernetics, Vol.20 (3), 1990, pp.559-570.