Fuzzy-регресійні моделі в умовах наявності в статистичній вибірці нечислової інформації
Algorithms are presented for solving the problems of the fuzzy regression analysis under the conditions when the input and output variables are represented by Fuzzy-sets defined up to unknown parameters and the regression coefficients are real numbers. We proposed several new approximations of crite...
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| Date: | 2017 |
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| Main Author: | |
| Format: | Article |
| Language: | Russian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/101833 |
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| Journal Title: | System research and information technologies |