About conflict in the theory of belief functions

Advances in Intelligent and Soft Computing

Volumn 164 AISC, Issue , 2012, Pages 161-168

  Martin, Arnaud ^a  

^a UNIVERSITÉ DE RENNES 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATION RULES; DISTANCE-BASED; THEORY OF BELIEF FUNCTIONS;

SOFT COMPUTING; SOFTWARE ENGINEERING;

UNCERTAINTY ANALYSIS;

EID: 84861013716     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29461-7_19     Document Type: Conference Paper

References (20)

1. Chebbah, M., Ben Yaghlane, B., Martin, A.: Reliability estimation based on conflict for evidential database enrichment. In: Belief, Brest, France (2010)
2. Dempster, A.P.: Upper and Lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics 83, 325-339 (1967)
3. Jousselme, A.-L., Grenier, D., Bossé, E.: A new distance between two bodies of evidence. Information Fusion 2, 91-101 (2001)
4. Jousselme, A.-L., Maupin, P.: On some properties of distances in evidence theory. In: Belief, Brest, France (2010)
5. Jousselme, A.-L., Maupin, P.: Distances in evidence theory: Comprehensive survey and generalizations. International Journal of Approximate Reasoning (2011)
6. Klir, G.J.: Measures of uncertainty in the Dempster-Shafer theory of evidence. In: Yager, R.R., Fedrizzi, M., Kacprzyk, J. (eds.) Advances in the Dempster-Shafer Theory of Evidence, pp. 35-49. John Wiley and Sons, New York (1994)
7. George, T., Pal, N.R.: Quantification of conflict in Dempster-Shafer framework: a new approach. International Journal of General Systems 24(4), 407-423 (1996)
8. Liu, W.: Analyzing the degree of conflict among belief functions. Artificial Intelligence 170, 909-924 (2006)
9. Martin, A., Osswald, C.: Toward a combination rule to deal with partial conflict and specificity in belief functions theory. In: International Conference on Information Fusion, Québec, Canada (2007)
10. Martin, A., Jousselme, A.-L., Osswald, C.: Conflict measure for the discounting operation on belief functions. In: International Conference on Information Fusion, Cologne, Germany (2008)
11. Osswald, C., Martin, A.: Understanding the large family of Dempster-Shafer theory's fusion operators - a decision-based measure. In: International Conference on Information Fusion, Florence, Italy (2006)
12. Rominger, C., Martin, A.: Using the conflict: An application to sonar image registration. In: Belief, Brest, France (2010)
13. Shafer, G.: A mathematical theory of evidence. Princeton University Press (1976)
14. Smarandache, F., Martin, A., Osswald, C.: Contradiction measures and specificity degrees of basic belief assignments. In: International Conference on Information Fusion, Boston, USA (2011)
15. Smets, P.: Constructing the pignistic probability function in a context of uncertainty. Uncertainty in Artificial Intelligence 5, 29-39 (1990)
16. Smets, P.: Analyzing the combination of conflicting belief functions. Information Fusion 8(4), 387-412 (2007)
17. Wierman, M.J.: Measuring Conflict in Evidence Theory. In: IFSA World Congress and 20th NAFIPS International Conference, vol. 3(21), pp. 1741-1745 (2001)
18. Yager, R.R.: Entropy and Specificity in a Mathematical Theory of Evidence. International Journal of General Systems 9, 249-260 (1983)
19. Yager, R.R.: On Considerations of Credibility of Evidence International. Journal of Approximate Reasoning 7, 45-72 (1992)
20. Zadeh, L.A.: A mathematical theory of evidence (book review). AI Magazine 5, 81-83 (1984)