1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting
Kaike Sa Teles Rocha Alves, Eduardo Pestana de Aguiar
Deep learning models, despite their popularity, face challenges such as long training times and a lack of interpretability. In contrast, fuzzy inference systems offer a balance of…
stat.ML2025★ 1 cited
Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach
Eduardo Santos de Oliveira Marques, Arthur Caio Vargas Pinto, Kaike Sa Teles Rocha Alves +1
Real-world data contain uncertainty and variations that can be correlated to external variables, known as randomness. An alternative cause of randomness is chaos, which can be an i…