НЕЧІТКА ІДЕНТИФІКАЦІЯ НА ОСНОВІ РЕГРЕСІЙНИХ МОДЕЛЕЙ ПАРАМЕТРИЧНОЇ ФУНКЦІЇ НАЛЕЖНОСТІ
A new structure of fuzzy regression model is proposed. The model maps an input vector into output fuzzy number with parametrical membership function. Crisp regression models take into account a dependence of the membership function parameters upon the influence factors. The regression coefficients a...
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| Date: | 2006 |
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| Main Author: | |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2006
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| Online Access: | https://jais.net.ua/index.php/files/article/view/269 |
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| Journal Title: | Problems of Control and Informatics |
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