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Toplam kayıt 16, listelenen: 1-10
J-curve in Turkish bilateral trade: A nonlinear approach
(Taylor and Francis Inc., 2019)
This study aims to bring further evidence on recent developments of the J-curve literature by employing linear and nonlinear autoregressive distributed lag (ARDL) approaches for Turkish bilateral trade data with respect ...
Forecast combination with meta possibilistic fuzzy functions
(Elsevier Science Inc, 2021)
There are many methods to obtain accurate forecasts for time series data in the literature. It is imperative to find an appropriate method with the correct assumptions for a given data set and circumstances. However, the ...
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions
(Ios Press, 2021)
Intuitionistic meta fuzzy forecast combination functions are introduced in the paper. There are two challenges in the forecast combination literature, determining the optimum weights and the methods to combine. Although ...
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 ...
A fuzzy ID3 induction for linguistic data sets
(Wiley, 2018)
In real life, humans communicate by means of words. Computing with words enables flexibility via fuzzy logic to reach more informative results for the classification and decision-making. Fuzzy logic handles the imprecise ...
META FUZZY INDEX FUNCTIONS
(Ankara Univ, Fac Sci, 2020)
Meta-analysis was introduced to aggregate the findings of different primary studies in statistical aspects. However, in the proposed study, the term meta is used to aggregate different models for a specific topic with the ...
Machine Learning to Identify Dialysis Patients at High Death Risk
(Elsevier Science Inc, 2019)
Introduction: Given the high mortality rate within the first year of dialysis initiation, an accurate estimation of postdialysis mortality could help patients and clinicians in decision making about initiation of dialysis. ...
A Novel ARMA Type Possibilistic Fuzzy Forecasting Functions Based on Grey-Wolf Optimizer (ARMA-PFFs)
(Springer, 2021)
This study proposes a new time series forecasting method that employs possibilistic fuzzy c-means, an autoregressive moving average model (ARMA), and a grey wolf optimizer (GWO) in type-1 fuzzy functions. Type-1 fuzzy ...
Dating currency crises and designing early warning systems: Meta-possibilistic fuzzy index functions
(Wiley, 2020)
In order to analyse the currency crises in Turkey over the period of January 1990 and October 2019, we first dated currency crises with meta-possibilistic fuzzy index functions. Then, we determined the significant predictors ...