Uma pesquisa sobre previsão de séries temporais não-estacionárias via modelos fuzzy evolutivos
International Journal of Development Research
Uma pesquisa sobre previsão de séries temporais não-estacionárias via modelos fuzzy evolutivos
Received 27th December, 2020; Received in revised form 17th January, 2021; Accepted 06th February, 2021; Published online 15th March, 2021
Copyright © 2021, Vania Corrêa Mota. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The present work aims to present a brief review on optimal granular evolutionary models that can provide accurate and granular predictions of flow of big meteorological data (big data). This environment is based on the theory of multicriteria optimization and is concerned not only with the accuracy of predictive models, but also with the specificity of information granules, delta-data coverage, and compression and structural evolution of fuzzy rules. The prediction problem is non-stationary and, of course, requires incremental strategies and evolutionary modeling.
