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Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
(2018-12)
The main objective of meta-analysis is to aggregate the results of multiple scientific studies on a specific topic. Instead of aggregating the results of different studies, different methods are aggregated with the help ...
Recurrent Type-1 Fuzzy Functions Approach for Time Series Forecasting
(2017-05-17)
Forecasting the future values of a time series is a common research topic and is studied using probabilistic and non-probabilistic methods. For probabilistic methods, the autoregressive integrated moving average and ...
Type-1 recurrent intuitionistic fuzzy functions for forecasting
(Pergamon-Elsevier Science Ltd, 2020)
In this study, a novel forecasting method that employs intuitionistic fuzzy c-means clustering and a grey wolf optimizer in recurrent type-1 fuzzy functions (R-T1FFs) is introduced. R-T1FFs, which adapt to the moving average ...
Type-1 possibilistic fuzzy forecasting functions
(Elsevier, 2020)
Type-1 Fuzzy Functions (T1FFs) were developed by Turksen as an alternative fuzzy inference system (FIS) and have been commonly used in forecasting problems. The main advantages of T1FFs are that they are free of rules and ...