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

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

Citation

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Chicago
Ruan, Da, Roland Carchon, Klaas van der Meer, Jun Liu, Hui Wang, and Luis Martínez. 2009. “Belief Rule-based Inference Methodology to Improve Nuclear Safeguards Information Evaluation.” In 2009 Annual Meeting of the North American Fuzzy Information Processing Society, 92–97. New York, NY, USA: IEEE.
APA
Ruan, D., Carchon, R., van der Meer, K., Liu, J., Wang, H., & Martínez, L. (2009). Belief rule-based inference methodology to improve nuclear safeguards information evaluation. 2009 Annual meeting of the North American Fuzzy Information Processing Society (pp. 92–97). Presented at the 2009 Annual meeting of the North American Fuzzy Information Processing Society, New York, NY, USA: IEEE.
Vancouver
1.
Ruan D, Carchon R, van der Meer K, Liu J, Wang H, Martínez L. Belief rule-based inference methodology to improve nuclear safeguards information evaluation. 2009 Annual meeting of the North American Fuzzy Information Processing Society. New York, NY, USA: IEEE; 2009. p. 92–7.
MLA
Ruan, Da et al. “Belief Rule-based Inference Methodology to Improve Nuclear Safeguards Information Evaluation.” 2009 Annual Meeting of the North American Fuzzy Information Processing Society. New York, NY, USA: IEEE, 2009. 92–97. Print.
@inproceedings{2918801,
  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.},
  author       = {Ruan, Da and Carchon, Roland and van der Meer, Klaas and Liu, Jun and Wang, Hui and Mart{\'i}nez, Luis},
  booktitle    = {2009 Annual meeting of the North American Fuzzy Information Processing Society},
  isbn         = {9781424445752},
  language     = {eng},
  location     = {Cincinnati, OH, USA},
  pages        = {92--97},
  publisher    = {IEEE},
  title        = {Belief rule-based inference methodology to improve nuclear safeguards information evaluation},
  url          = {http://dx.doi.org/10.1109/NAFIPS.2009.5156401},
  year         = {2009},
}

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