An Optimal Unified Combination Rule

作者: Yanyan He , M. Yousuff Hussaini

DOI: 10.1007/978-3-319-11191-9_5

关键词:

摘要: This paper presents an optimal unified combination rule within the framework of Dempster-Shafer theory evidence to combine multiple bodies evidence. It is in sense that resulting combined m-function has least dissimilarity with individual m-functions and therefore represents greatest amount information similar represented by original m-functions. Examples are provided illustrate proposed rule.

参考文章(27)
Jürg Kohlas, Paul-André Monney, A Mathematical Theory of Hints Lecture Notes in Economics and Mathematical Systems. ,(1995) , 10.1007/978-3-662-01674-9
Information, Uncertainty, and Fusion Kluwer Academic Publishers. ,vol. 516, ,(2000) , 10.1007/978-1-4615-5209-3
Jean Dezert, Florentin Smarandache, Advances and Applications of DSmT for Information Fusion ,(2020)
Ronald R. Yager, Mario Fedrizzi, Janusz Kacprzyk, Advances in the Dempster-Shafer theory of evidence John Wiley & Sons, Inc.. ,(1994)
KARI SENTZ, SCOTT FERSON, Combination of Evidence in Dempster-Shafer Theory Other Information: PBD: 1 Apr 2002. ,(2002) , 10.2172/800792
P. Smets, Data fusion in the transferable belief model international conference on information fusion. ,vol. 1, ,(2000) , 10.1109/IFIC.2000.862713
Arthur P. Dempster, New Methods for Reasoning Towards Posterior Distributions Based on Sample Data Classic Works of the Dempster-Shafer Theory of Belief Functions. ,vol. 37, pp. 35- 56 ,(1966) , 10.1007/978-3-540-44792-4_2
T. Inagaki, Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory IEEE Transactions on Reliability. ,vol. 40, pp. 182- 188 ,(1991) , 10.1109/24.87125
Anne-Laure Jousselme, Dominic Grenier, Éloi Bossé, A new distance between two bodies of evidence Information Fusion. ,vol. 2, pp. 91- 101 ,(2001) , 10.1016/S1566-2535(01)00026-4