Method of convolution in multicriteria problems with uncertainty
- Авторлар: Novikova N.1, Pospelova I.2, Zenyukov A.2
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Мекемелер:
- Federal Research Center Computer Science and Control
- Faculty of Computational Mathematics and Cybernetics
- Шығарылым: Том 56, № 5 (2017)
- Беттер: 774-795
- Бөлім: Systems Analysis and Operations Research
- URL: https://journals.rcsi.science/1064-2307/article/view/219966
- DOI: https://doi.org/10.1134/S1064230717050082
- ID: 219966
Дәйексөз келтіру
Аннотация
The problem of optimizing complex systems under incomplete information when there are several criteria for the system’s efficiency (optimization goals) is considered. The properties of different types of the convolution of these criteria, as well as the method of successive concessions for formalizing the concept of the solution of multicriteria (MC) problems with uncertainty, are analyzed. We show that there is a difference between the solutions obtained with different convolutions and method modifications. The advantages of the inverse logical convolution are demonstrated.
Авторлар туралы
N. Novikova
Federal Research Center Computer Science and Control
Email: ipospelova05@yandex.ru
Ресей, Moscow, 119333
I. Pospelova
Faculty of Computational Mathematics and Cybernetics
Хат алмасуға жауапты Автор.
Email: ipospelova05@yandex.ru
Ресей, Moscow, 119991
A. Zenyukov
Faculty of Computational Mathematics and Cybernetics
Email: ipospelova05@yandex.ru
Ресей, Moscow, 119991
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