Multiple Models of Information Fusion Processes: Quality Definition and Estimation

Journal of Computational Science 2014
Boris Sokolov, Vyacheslav Zelentsov, Rafael Yusupov, Jurijs Merkurjevs

Now problems of a multi-criteria quality estimation of models as well as a justified selection of task-oriented models are still not investigated thoroughly enough. The importance of the problems increases when a research object is described not via a single model, but with a set or a complex of multiple models including models from different classes or combined models such as combined analytical-simulation models, logical-algebraic ones, etc. The aforementioned problems are being investigated within the theory of model quality control. The description of main elements of this theory and its applications is the primary goal of the paper.

Keywords
Information fusion, Model quality control, Multiple models
DOI
10.1016/j.jocs.2014.01.001
Hyperlink
http://www.sciencedirect.com/science/article/pii/S1877750314000027

Sokolov, B., Zelentsov, V., Yusupov, R., Merkurjevs, J. Multiple Models of Information Fusion Processes: Quality Definition and Estimation. Journal of Computational Science, 2014, Vol.5, Iss.3, pp.380-386. ISSN 1877-7503. Available from: doi:10.1016/j.jocs.2014.01.001

Publication language
English (en)