Analyzing the combination of conflicting belief functions

By Philippe Smets. Information Fusion, 2007

449 citations recorded by the source corpus.

How researchers see this paper

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Degrees of Belief (2009, methodology): “Since then, many authors have used Zadeh’s example either to criticize DST as a whole, or as a motivation for constructing alternative combination rules, which mainly differ from the way possible conflicts are managed (the appendix of [108] gives a comprehensive overview of such methods).”
Analyzing the degree of conflict among belief functions (2006, methodology): “In summary, no matter for categorical or general bba combinations in [21] or in any other papers that investigate the alternative combination rules, as long as the combined m⊕(∅) = 0.”
Multisensor data fusion: A review of the state-of-the-art (2013, background): “Our classification of imperfect data is inspired by the pioneering work of Smets' [26] as well as recent elaborations by Dubois and Prade [28].”
Evidential reasoning rule for evidence combination (2013, methodology): “These attractive features have motivated the use of D–S theory in many areas like knowledge-based system [22,8], pattern recognition [6], information fusion [21,30,14], Multiple Criteria Decision Analysis (MCDA) and risk analysis [38,40,2,41, 37,33,42].”