2012
HMS 2012 Proceeding
Information fusion multiple-models quality definition and estimation
Authors: Boris V. Sokolov, Viacheslav A. Zelentsov, Rafael M. Yusupov, Yuri A. Merkuryev
Abstract
Nowadays the theory, methods and techniques concerning the application of mathematical models are wide used. Nevertheless such problems as a quality estimation of multi-criteria models, an analysis and classification of applied models, as well as justified selection of task-oriented models are still not well investigated. The importance of the problem 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. Aforementioned problems are the primary research objects of the quality control theory of mathematical models and multiple-model complexes. The description of main elements of this theory is the primary goal of the paper. The implementation of this theory is connected with the information fusion multiple-models area
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