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Instruments and Systems: Monitoring, Control, and Diagnostics

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Reducing the dimension of feature space in problems of system analisys of innovative potential of industrial enterprises
V.A. Vasiliev, N.V. DOBRYNINA

The article describes the approaches and methods to reduce the feature space in the evaluation of innovative potential of industrial enterprises. The method of using convolution signs aggregating components. Considered a static method of reducing the feature space by using factor analysis method of principal component analysis. Presented resulting structure estimation of innovative potential of industrial enterprises, reflecting the approach of managed factors. The resulting model allows to evaluate the innovation potential of small businesses in the information space having a small percentage of subjectivity. The above approaches can be applied to any complex system to simplify the construction of the evaluation system.
Keywords: system analysis, model estimation of innovative potential, correlation, factor analysis, a complex system, convolution,
reduced feature space, IBM SPSS Statistics.

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