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

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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.

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Original languageEnglish
Title of host publicationNAFIPS09 (CD)
Place of PublicationNew York, NY, United States
Volume1
Publication statusPublished - Jun 2009
EventNAFIPS2009: The 28th North American Fuzzy Information Processing Society Annual Conference - Cincinnati, Ohio, United States
Duration: 14 Jun 200917 Jun 2009

Conference

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

Keywords

  • nuclear safeguards, physical model, decision making, belief rule-base, fuzzy logic, Dempster-Shafer theory of evidence, evidential reasoning

ID: 167684