Моделі та методи розв’язування нечітких задач дискретної оптимізації у діагностичних інформаційних технологіях
The paper considers discrete optimization methods for a number of models of practically important covering, choice and clusterization problems appearing in designing and operation of diagnostic information technologies in fuzzy space. General and specific statements of such problems are given and so...
Збережено в:
| Дата: | 2019 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | rus |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/171068 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | The paper considers discrete optimization methods for a number of models of practically important covering, choice and clusterization problems appearing in designing and operation of diagnostic information technologies in fuzzy space. General and specific statements of such problems are given and solution methods are considered for them. On the basis of the T. Saati hierarchy analysis method, an approach is also proposed for calculation of weight coefficients for creation of additive objerlive and constraining functionals. |
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