Determination of the generalized optimality criteria for selecting civilian shelter facilities from attacks by ballistic (cruise) missiles and kamikaze drones in urbanized areas
Вантажиться...
Дата
2024
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
КПІ ім. Ігоря Сікорського
Анотація
The object of the study is the planning of the selection of civilian shelter from  attacks  by  ballistic  (cruise)  missiles  and  kamikaze  drones  in  urbanized  areas.  A  generalized  model  for  assessing  the  choice  of  civilian  shelter  facilities  has  been  developed by applying linear forms of factor linkage in combination with a general-ized  optimality  criterion  in  the  form  of  a  linear  combination  of  local  criteria.  The  multivariate regression analysis method was chosen to study the correlation between the generalized criterion and the observed feature. A generalized criterion for the op-timal  choice  of  civilian  shelter  facilities  from  attacks  by  ballistic  (cruise)  missiles  and kamikaze drones in urbanized areas is calculated in the form of regression coef-ficients. The criterion can facilitate a simplified determination of the generalized in-dicator of a linear model for planning the protection of civilians in cities outside the area of  hostilities.  The  initial  data  is  a  set  of  physical  (technical)  states  of  shelters  with  a  list  of values and features sufficient to assess their resistance to high dynamic loads
Опис
Ключові слова
optimality  criterion, civilian  shelter  facilities, weighting  factor, missile  attacks, критерійоптимальності, засобиукриттяцивільногонаселен-ня, ваговийкоефіцієнт, ракетніатаки
Бібліографічний опис
Determination of the generalized optimality criteria for selecting civilian shelter facilities from attacks by ballistic (cruise) missiles and kamikaze drones in urbanized areas / V. Yakovenko, N. Furmanova, I. Flys, O. Malyi, O. Farafonov, H. Moroz // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2024. – № 3. – С. 25-43 . – Бібліогр.: 43 назв.