Method of convolution in multicriteria problems with uncertainty
- 作者: Novikova N.1, Pospelova I.2, Zenyukov A.2
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隶属关系:
- Federal Research Center Computer Science and Control
- Faculty of Computational Mathematics and Cybernetics
- 期: 卷 56, 编号 5 (2017)
- 页面: 774-795
- 栏目: Systems Analysis and Operations Research
- URL: https://journals.rcsi.science/1064-2307/article/view/219966
- DOI: https://doi.org/10.1134/S1064230717050082
- ID: 219966
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详细
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.
作者简介
N. Novikova
Federal Research Center Computer Science and Control
Email: ipospelova05@yandex.ru
俄罗斯联邦, Moscow, 119333
I. Pospelova
Faculty of Computational Mathematics and Cybernetics
编辑信件的主要联系方式.
Email: ipospelova05@yandex.ru
俄罗斯联邦, Moscow, 119991
A. Zenyukov
Faculty of Computational Mathematics and Cybernetics
Email: ipospelova05@yandex.ru
俄罗斯联邦, Moscow, 119991
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