TY - GEN
T1 - Towards a general framework for information fusion
AU - Dubois, Didier
AU - Liu, Weiru
AU - Ma, Jianbing
AU - Prade, Henri
PY - 2013
Y1 - 2013
N2 - Depending on the representation setting, different combination rules have been proposed for fusing information from distinct sources. Moreover in each setting, different sets of axioms that combination rules should satisfy have been advocated, thus justifying the existence of alternative rules (usually motivated by situations where the behavior of other rules was found unsatisfactory). These sets of axioms are usually purely considered in their own settings, without in-depth analysis of common properties essential for all the settings. This paper introduces core properties that, once properly instantiated, are meaningful in different representation settings ranging from logic to imprecise probabilities. The following representation settings are especially considered: classical set representation, possibility theory, and evidence theory, the latter encompassing the two other ones as special cases. This unified discussion of combination rules across different settings is expected to provide a fresh look on some old but basic issues in information fusion.
AB - Depending on the representation setting, different combination rules have been proposed for fusing information from distinct sources. Moreover in each setting, different sets of axioms that combination rules should satisfy have been advocated, thus justifying the existence of alternative rules (usually motivated by situations where the behavior of other rules was found unsatisfactory). These sets of axioms are usually purely considered in their own settings, without in-depth analysis of common properties essential for all the settings. This paper introduces core properties that, once properly instantiated, are meaningful in different representation settings ranging from logic to imprecise probabilities. The following representation settings are especially considered: classical set representation, possibility theory, and evidence theory, the latter encompassing the two other ones as special cases. This unified discussion of combination rules across different settings is expected to provide a fresh look on some old but basic issues in information fusion.
U2 - 10.1007/978-3-642-41550-0_4
DO - 10.1007/978-3-642-41550-0_4
M3 - Conference Contribution (Conference Proceeding)
SN - 9783642415494
T3 - Lecture Notes in Computer Science
SP - 37
EP - 48
BT - Modeling Decisions for Artificial Intelligence
A2 - Torra, Vicenç
A2 - Narukawa, Yasuo
A2 - Navarro-Arribas, Guillermo
A2 - Megías, David
PB - Springer
ER -