МЕТОДИ І АЛГОРИТМИ БАГАТОКРИТЕРІАЛЬНОЇ ОПТИМІЗАЦІЇ НА БАЗІ НЕСТРОГИХ РАНЖИРОВОК АЛЬТЕРНАТИВ ЗА ЧАСТИННИМИ КРИТЕРІЯМИ І ДОСВІД КОМП’ЮТЕРНОЇ РЕАЛІЗАЦІЇ
A class of multicriteria choice problems is considered in which the finite set of alternatives is known, а number of alternatives can be considerably large, alternatives can be evaluated both numerically and qualitatively. The information about preferences is represented as generalized (with the equ...
Збережено в:
| Дата: | 2006 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2006
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| Онлайн доступ: | https://jais.net.ua/index.php/files/article/view/390 |
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| Назва журналу: | Problems of Control and Informatics |
Репозитарії
Problems of Control and Informatics| Резюме: | A class of multicriteria choice problems is considered in which the finite set of alternatives is known, а number of alternatives can be considerably large, alternatives can be evaluated both numerically and qualitatively. The information about preferences is represented as generalized (with the equivalence indicated) rankings of alternatives. For the considered class of problems, the computer search technology of compromise solution is suggested. One uses the qualitative criteria and new approach for the solution of the problems of multicriteria choice. |
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