Numerical method for clustering homogeneous alternatives that characterize the quality of anti-terrorist security of objects of internal affairs bodies, based on the sum of differences of weighted features

The article considers the development of a numerical method for clustering homogeneous alternatives based on the sum of differences in weighted attributes, the methodological basis for which is a cluster-hierarchical approach, as well as the results of verification of the proposed numerical method on the example of the study of anti-terrorist security of objects of internal Affairs bodies. As part of the formation of homogeneous groups of objects, we consider a limited group of objects that are practically indistinguishable from each other by their distinctive features (they can and should be compared with each other). Their further clustering will allow you to determine the list of requirements for such objects, for a more detailed study of their properties. This method contributes to rational budget planning: for example, for departmental organizations in conditions of insufficient targeted funding, funds are provided for a specific type of activity (for example, to strengthen anti-terrorist security measures) and, as a rule, their volume is significantly limited, compared to the requirements for solving a whole range of tasks. A large number of identical objects of protection does not imply the distribution of sufficient budget funds for all objects due to the limited targeted funding, which is why there is a need to focus budget funds on those protected objects that need targeted funding in the first place, based on the assessment of their level of anti-terrorist protection.

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