Towards a general framework for information fusion


Autoria(s): Dubois, Didier; Liu, Weiru; Ma, Jianbing; Prade, Henri
Data(s)

01/11/2013

Resumo

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.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/towards-a-general-framework-for-information-fusion(e8e10815-bff9-4a9a-89fe-e989077d6c9f).html

http://dx.doi.org/10.1007/978-3-642-41550-0_4

http://pure.qub.ac.uk/ws/files/17580052/Towards_a_general_framework_for_information_fusion.pdf

Idioma(s)

eng

Publicador

Springer-Verlag

Direitos

info:eu-repo/semantics/openAccess

Fonte

Dubois , D , Liu , W , Ma , J & Prade , H 2013 , Towards a general framework for information fusion . in Modeling Decisions for Artificial Intelligence: 10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013. Proceedings . Lecture Notes in Computer Science , vol. 8234 , Springer-Verlag , pp. 37-48 . DOI: 10.1007/978-3-642-41550-0_4

Tipo

contributionToPeriodical