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

Da Ruan, Roland Carchon, Klaas Van Der Meer, Jun Liu, Hui Wang, Luis Martinez

    Research outputpeer-review

    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 Stateś 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.

    Original languageEnglish
    Title of host publicationNAFIPS 2009
    Subtitle of host publication2009 Annual Meeting of the North American Fuzzy Information Processing Society
    Place of PublicationNew York, NY, United States
    Volume1
    DOIs
    StatePublished - 2009
    EventNAFIPS2009: The 28th North American Fuzzy Information Processing Society Annual Conference - Cincinnati, Ohio
    Duration: 14 Jun 200917 Jun 2009

    Publication series

    NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

    Conference

    ConferenceNAFIPS2009: The 28th North American Fuzzy Information Processing Society Annual Conference
    Country/TerritoryUnited States
    CityCincinnati, Ohio
    Period2009-06-142009-06-17

    ASJC Scopus subject areas

    • General Computer Science
    • General Mathematics

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