Name
Title | ||
|---|---|---|
Imputing missing values in nuclear safeguards evaluation by a 2-tuple computational model |
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) evaluate many indicators by using diverse sources, which are vague and imprecise. The use of linguistic information has provided a better way to manage such uncertainties. However, missing values in the evaluation are often happened because there exist many indicators and the experts have not sufficient knowledge or expertise about them. Those missing values might bias the evaluation result. In this contribution, we provide an imputation process based on collaborative filtering dealing with the linguistic 2-tuple computation model and a trust measure to cope with such problems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13208-7_26 | ICAISC (1) |
Keywords | Field | DocType |
imputation process,nuclear weapons purpose,nuclear program,2-tuple computation model,evaluation result,2-tuple computational model,missing value,international atomic energy agency,nuclear safeguards evaluation,diverse source,linguistic information,imputation,fuzzy sets,missing values,collaborative filtering,computer model,fuzzy set | Data science,Rule-based machine translation,Collaborative filtering,Atomic energy,Computer science,Tuple,Nuclear weapon,Fuzzy set,Missing data,Imputation (statistics) | Conference |
Volume | ISSN | ISBN |
6113 | 0302-9743 | 3-642-13207-3 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rosa M. Rodríguez | 1 | 299 | 8.37 |
| Da Ruan | 2 | 2008 | 112.05 |
| Jun Liu | 3 | 644 | 56.21 |
| Alberto Calzada | 4 | 77 | 6.25 |
| Luis Martínez | 5 | 1747 | 67.16 |