Method of convolution in multicriteria problems with uncertainty
| Autor: | A. I. Zenyukov, I. I. Pospelova, N. M. Novikova |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer Networks and Communications Computer science business.industry Applied Mathematics Complex system Inverse Robotics 02 engineering and technology Mechatronics 01 natural sciences Theoretical Computer Science Convolution 010101 applied mathematics 020901 industrial engineering & automation Control and Systems Engineering Complete information Computer Vision and Pattern Recognition Artificial intelligence 0101 mathematics business Software Information Systems |
| Zdroj: | Journal of Computer and Systems Sciences International. 56:774-795 |
| ISSN: | 1555-6530 1064-2307 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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