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Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation

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Abstract
Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) carry out an evaluation process in which several hundred so findicat ors are assessed according to the information obtained from different sources, such as State declarations, on-site inspections, IAEA non-safeguards databases and other open sources. These assessments are synthesized in a hierarchical way to obtain a global assessm ent. Much information and many sources of information related to nuclear safeguards the imputed values.
Keywords
INFORMATION, CLASSIFICATION, PREFERENCE RELATIONS, REPRESENTATION MODEL, GROUP DECISION-MAKING, imputation, collaborative filtering, trust-worthy, missing values, 2-tuple, Nuclear safeguards, fuzzy linguistic approach, PERFORMANCE, ALGORITHMS, OPERATORS, SYSTEM, WORDS

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Citation

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Chicago
Rodríguez, Rosa M, Luis Martínez, Da Ruan, and Jun Liu. 2010. “Using Collaborative Filtering for Dealing with Missing Values in Nuclear Safeguards Evaluation.” International Journal of Uncertainty Fuzziness and Knowledge-based Systems 18 (4): 431–449.
APA
Rodríguez, R. M., Martínez, L., Ruan, D., & Liu, J. (2010). Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 18(4), 431–449.
Vancouver
1.
Rodríguez RM, Martínez L, Ruan D, Liu J. Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS. 2010;18(4):431–49.
MLA
Rodríguez, Rosa M, Luis Martínez, Da Ruan, et al. “Using Collaborative Filtering for Dealing with Missing Values in Nuclear Safeguards Evaluation.” INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 18.4 (2010): 431–449. Print.
@article{2918513,
  abstract     = {Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) carry out an evaluation process in which several hundred so findicat ors are assessed according to the information obtained from different sources, such as State declarations, on-site inspections, IAEA non-safeguards databases and other open sources. These assessments are synthesized in a hierarchical way to obtain a global assessm ent. Much information and many sources of information related to nuclear safeguards the imputed values.},
  author       = {Rodr{\'i}guez, Rosa M and Mart{\'i}nez, Luis and Ruan, Da and Liu, Jun},
  issn         = {0218-4885},
  journal      = {INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS},
  keyword      = {INFORMATION,CLASSIFICATION,PREFERENCE RELATIONS,REPRESENTATION MODEL,GROUP DECISION-MAKING,imputation,collaborative filtering,trust-worthy,missing values,2-tuple,Nuclear safeguards,fuzzy linguistic approach,PERFORMANCE,ALGORITHMS,OPERATORS,SYSTEM,WORDS},
  language     = {eng},
  number       = {4},
  pages        = {431--449},
  title        = {Using collaborative filtering for dealing with missing values in nuclear safeguards evaluation},
  url          = {http://dx.doi.org/10.1142/S0218488510006635},
  volume       = {18},
  year         = {2010},
}

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