@inproceedings{7bce9af8de5e4352b89d920da30e7743,
title = "Hierarchical proportional redistribution for bba approximation",
abstract = "Dempster's rule of combination is commonly used in the field of information fusion when dealing with belief functions. However, it generally requires a high computational cost. To reduce it, a basic belief assignment (bba) approximation is needed. In this paper we present a new bba approximation approach called hierarchical proportional redistribution (HPR) allowing to approximate a bba at any given level of non-specificity. Two examples are given to show how our new HPR works.",
author = "Jean Dezert and Deqiang Han and Zhunga Liu and Tacnet, {Jean Marc}",
year = "2012",
doi = "10.1007/978-3-642-29461-7_32",
language = "英语",
isbn = "9783642294600",
series = "Advances in Intelligent and Soft Computing",
pages = "275--283",
booktitle = "Belief Functions",
note = "2nd International Conferenceon Belief Functions ; Conference date: 09-05-2012 Through 11-05-2012",
}