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  5. Structured-parametric identification of multifactoring estimations models

Structured-parametric identification of multifactoring estimations models

V. Beskorovainyi, I. Trofimenko
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The application of comparatory identification technologies for choice of type and best parameters values of multifactoring estimation models is considered. The mathematical problem models on base of shaping the binary relations of equivalence, preferences and permissive preference as well as method of deciding the problems are suggested. Offered approach allows to reduce decide problem to problems of single-line or nonlinear programming.