作者: Philippe Smets
DOI: 10.1016/J.INFFUS.2006.04.003
关键词: Empty set 、 Transferable belief model 、 Dynamic data 、 Mathematics 、 Belief structure 、 Mathematical economics 、 Uncertain data 、 Artificial intelligence 、 Normalization (statistics)
摘要: We consider uncertain data which uncertainty is represented by belief functions and that must be combined. The result of the combination can partially conflictual. Initially Shafer proposed Dempster's rule where conflict reallocated proportionally among other masses. Then Zadeh presented an example produces unsatisfactory results. Several solutions were proposed: TBM solution masses are not renormalized stored in mass given to empty set, Yager's transferred universe Dubois Prade's resulting from pairs conflictual focal elements union these subsets. Many suggestions have then been made, creating a 'jungle' rules. discuss nature combinations (conjunctive versus disjunctive, revision updating, static dynamic fusion), argue about need for normalization, examine possible origins conflicts, determine if justified analyze many solutions.