Dependency based reasoning in a Dempster-Shafer theoretic framework

Rohitha Hewawasam, Kamal Premaratne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Bayesian Networks (BNs) represent joint space probabilities compactly and enable one to carry out efficient inferencing. Although the Dempster-Shafer (DS) belief theoretic framework captures a wider class of imperfections, its utility in such graphical models is limited. This is mainly due to the requirement of having to maintain a basic probability assignment (BPA) for the whole power set of propositions of interest. In this paper, we introduce a simpler BPA that can still capture many types of imperfections that are commonly encountered in practice. This BPA is then used to develop the DS-BN, a graphical dependency model that represents the joint space belief distribution. We show how this DS-BN can efficiently carry out inferences within the DS theoretic framework. Its utility is illustrated by modeling a problem involving missing values and then comparing the inferences made with those obtained via a BN that learns its parameters using the EM algorithm.

Original languageEnglish (US)
Title of host publicationFUSION 2007 - 2007 10th International Conference on Information Fusion
DOIs
StatePublished - Dec 1 2007
EventFUSION 2007 - 2007 10th International Conference on Information Fusion - Quebec, QC, Canada
Duration: Jul 9 2007Jul 12 2007

Publication series

NameFUSION 2007 - 2007 10th International Conference on Information Fusion

Other

OtherFUSION 2007 - 2007 10th International Conference on Information Fusion
CountryCanada
CityQuebec, QC
Period7/9/077/12/07

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Keywords

  • Belief network
  • Data imperfection
  • Dempster shafer theory
  • Learning

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Software

Cite this

Hewawasam, R., & Premaratne, K. (2007). Dependency based reasoning in a Dempster-Shafer theoretic framework. In FUSION 2007 - 2007 10th International Conference on Information Fusion [4408135] (FUSION 2007 - 2007 10th International Conference on Information Fusion). https://doi.org/10.1109/ICIF.2007.4408135