• DocumentCode
    2404762
  • Title

    Belief rule-based inference methodology to improve nuclear safeguards information evaluation

  • Author

    Ruan, Da ; Carchon, Roland ; van der Meer, Klaas ; Liu, Jun ; Wang, Hui ; Martinez, Luis

  • Author_Institution
    Belgian Nucl. Res. Centre (SCKCEN), Mol, Belgium
  • fYear
    2009
  • fDate
    14-17 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A framework for modeling, analyzing and synthesizing nuclear safeguards information with various uncertainties is proposed by using a newly developed belief rule-base inference methodology (RIMER). After a hierarchical analysis of States´ nuclear activities on the basis of the International Atomic Energy Agency (IAEA) physical model, the multi-layer structure of the evaluation model for States´ nuclear activities is outlined. The special emphasis is given to the synthesis and evaluation analysis of the physical model indicator information by RIMER, which handles hybrid uncertain information in nuclear safeguards evaluation process. The proposed framework illustrates and clarifies the inference and synthesis formalism from a case study of nuclear safeguards information evaluation.
  • Keywords
    belief networks; inference mechanisms; knowledge based systems; nuclear engineering computing; nuclear materials safeguards; IAEA physical model; International Atomic Energy Agency; belief rule-based inference; hierarchical analysis; multilayer structure; nuclear activity; nuclear safeguards information evaluation; Computer science; Decision making; Erbium; Fuzzy logic; Information analysis; Information processing; Nuclear fuels; Production systems; Protocols; Uncertainty; Dempster-Shafer theory of evidence; belief rule-base; decision making; evidential reasoning; fuzzy logic; nuclear safeguards; physical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4244-4575-2
  • Electronic_ISBN
    978-1-4244-4577-6
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2009.5156401
  • Filename
    5156401