Measurement reduction in the presence of subjective information

The article considers an application of the mathematical formalism of subjective modeling to improve the quality of measurement data interpretation by using a researcher’s incomplete and unreliable subjective information about the research object. It is shown the mathematical formalism of subjective modeling allows the researcher to use measurement data to test the adequacy of the subjective model for the research objective, to correct the subjective model, to combine the observation data and his subjective notions about the research object to optimize his conclusions about the researched features of the research object and how to check the information about the research object for misinformation. Obtained results are illustrated by computer experiments.

Keywords

measurement reduction, subjective modeling, information fusion, information verification

Acknowledgment

This work was supported by the Russian Foundation for Basic Research, project 18-07-00424.

Received

10.11.2018

Publication date

30.11.2018

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GOST	Balakin D., Pytev Y. Measurement reduction in the presence of subjective information // Matematicheskoe modelirovanie – 2018. – V. 30. – Number 12 C. 84-110 [Electronic resource]. URL: http://ras.jes.su/mmod/s207987840001169-4-1-en (circulation date: 19.04.2024). DOI: 10.31857/S023408790001938-5
MLA	Balakin, D., Pytev, Yu "Measurement reduction in the presence of subjective information." Matematicheskoe modelirovanie 30.12 (2018):84-110. DOI: 10.31857/S023408790001938-5
APA	Balakin D., Pytev Y. (2018). Measurement reduction in the presence of subjective information. Matematicheskoe modelirovanie 30(12), pp.84-110 DOI: 10.31857/S023408790001938-5

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