Using Mathematical Classification Methods to Analyze and Standardize Man-Made Territorial Risk

The study is devoted to the analysis of mechanisms for managing the safety of territories and the formation of a scientifically based approach to determining the acceptable level of risk. The method of mathematical classification of data, namely hierarchical cluster analysis and the k-means method, is used as a tool. The need to solve this problem is associated with the identified methodological difficulties and inconsistencies in the use of current regulatory documents on risk assessment. The approach proposed in the work to determining the acceptable level of risk, based on the mathematical classification of data, is an important component on the way to developing a unified methodology for standardization.

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Publication Details

Journal
International Journal of Sustainability and Risk Control
Published
2025-09-04
DOI
https://doi.org/10.64599/wbov4066
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Mathematical Classification Methods to Analyze and Standardize Man-Made Territorial Risk

U.S. Postnikova
International Journal of Sustainability and Risk Control
Economic and Technological Systems Analysis
article

Using Mathematical Classification Methods to Analyze and Standardize Man-Made Territorial Risk

U.S. Postnikova
article en

Abstract

The study is devoted to the analysis of mechanisms for managing the safety of territories and the formation of a scientifically based approach to determining the acceptable level of risk. The method of mathematical classification of data, namely hierarchical cluster analysis and the k-means method, is used as a tool. The need to solve this problem is associated with the identified methodological difficulties and inconsistencies in the use of current regulatory documents on risk assessment. The approach proposed in the work to determining the acceptable level of risk, based on the mathematical classification of data, is an important component on the way to developing a unified methodology for standardization.

International Journal of Sustainability and Risk ControlVol. 1(2)
Russian Academy of Sciences (RU), Russian Engineering Academy (RU)
Openalex Percentile: Top 68%
Economic and Technological Systems Analysis
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