414 citations · 422 across the 4 of their papers we have counts for
4 papers
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Among various soft computing approaches for time series forecasting, Fuzzy Cognitive Maps (FCM) have shown remarkable results as a tool to model and analyze the dynamics of complex…
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting
Omid Orang, Petrônio Cândido de Lima Silva, Frederico Gadelha Guimarães
Fuzzy Cognitive Maps (FCMs) have emerged as an interpretable signed weighted digraph method consisting of nodes (concepts) and weights which represent the dependencies among the co…
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
Petrônio C. L. Silva, Paulo V. C. Batista, Hélder S. Lima +3
The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the public health and economy worldwide. To overcome this problem, countries have adopted different po…
Forecasting in Non-stationary Environments with Fuzzy Time Series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves +3
In this paper we introduce a Non-Stationary Fuzzy Time Series (NSFTS) method with time varying parameters adapted from the distribution of the data. In this approach, we employ Non…