Title
Using Collaborative Filtering For Dealing With Missing Values In Nuclear Safeguards Evaluation
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.
Year
DOI
Venue
2010
10.1142/S0218488510006635
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
Field
DocType
Nuclear safeguards, fuzzy linguistic approach, 2-tuple, missing values, trust-worthy, collaborative filtering, imputation
Nuclear weapon,Risk analysis (engineering),Artificial intelligence,Missing data,Vagueness,Collaborative filtering,Atomic energy,Fuzzy logic,Operations research,Imputation (statistics),Machine learning,Mathematics,Group decision-making
Journal
Volume
Issue
ISSN
18
4
0218-4885
Citations 
PageRank 
References 
3
0.44
17
Authors
4
Name
Order
Citations
PageRank
Rosa M. Rodriguez1107833.07
Luis Martínez2174767.16
Da Ruan32008112.05
Jun Liu464456.21