Name
Abstract | ||
|---|---|---|
•We proposed description of methodological background for qualimetry of information fusion models.•We suggested the system of indices that evaluates the quality of models and poly-model systems; to develop a generalized description (macrodescription) of various classes of models.•We described the main properties of multiple-model complexes that should first be evaluated in their comparison and choice.•We analyzed the possible variants of the calculation for the evaluation of adequacy indices of models. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jocs.2014.01.001 | Journal of Computational Science |
Keywords | Field | DocType |
Information fusion,Model quality control,Multiple models | Data mining,Computer science,Research Object,Model quality,Artificial intelligence,Information fusion,Machine learning,Multiple Models | Journal |
Volume | Issue | ISSN |
5 | 3 | 1877-7503 |
Citations | PageRank | References |
2 | 0.43 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boris V. Sokolov | 1 | 281 | 29.12 |
| Vyacheslav Zelentsov | 2 | 4 | 1.57 |
| R. M. Yusupov | 3 | 2 | 1.11 |
| Yuri Merkuryev | 4 | 56 | 16.72 |