<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The present paper provides the methodology of monitoring and evaluation of dynamics of radioactive contamination from radioactive waste depositories, which supposes the wide application of the fuzzy set theory results, heuristics and risk-oriented management. The developed technique is based on hybrid modelling and data mining principle and provides effective control operations, realises appropriate environmental monitoring, assures trustworthy of decision making in situations of noise, ambiguity and misrepresented data.</p></abstract>

The present paper provides the methodology of monitoring and evaluation of dynamics of radioactive contamination from radioactive waste depositories, which supposes the wide application of the fuzzy set theory results, heuristics and risk-oriented management. The developed technique is based on hybrid modelling and data mining principle and provides effective control operations, realises appropriate environmental monitoring, assures trustworthy of decision making in situations of noise, ambiguity and misrepresented data.

Model Monitoring and Evaluation of Radioactive Contamination

Taurida National V.I. Vernadsky University

Institute of Energy Saving and Energy Management

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Model Monitoring and Evaluation of Radioactive Contamination"}

The present paper provides the methodology of monitoring and evaluation of dynamics of radioactive contamination from radioactive waste depositories, which...

Model Monitoring and Evaluation of Radioactive Contamination

Online veröffentlicht: 13. Sept. 2019

Seitenbereich: 57 - 67

DOI: https://doi.org/10.2478/lpts-2019-0025

Schlüsselwörter
decision making, fuzzy set, heuristics, metrics, model monitoring, radioactive contamination

© 2019 I. Yeremeyev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Model Monitoring and Evaluation of Radioactive Contamination

Online veröffentlicht: 13. Sept. 2019

Seitenbereich: 57 - 67

DOI: https://doi.org/10.2478/lpts-2019-0025

Schlüsselwörterdecision making, fuzzy set, heuristics, metrics, model monitoring, radioactive contamination

© 2019 I. Yeremeyev et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
decision making, fuzzy set, heuristics, metrics, model monitoring, radioactive contamination