Yazar "Tak, Nihat" için listeleme
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An adaptive forecast combination approach based on meta intuitionistic fuzzy functions
Tak, Nihat; Egrioğlu, Erol; Baş, Eren; Yolcu, Ufuk (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 ... -
Dating currency crises and designing early warning systems: Meta-possibilistic fuzzy index functions
Tak, Nihat; Gök, Adem (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 ... -
Forecast combination with meta possibilistic fuzzy functions
Tak, Nihat (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 ... -
GREY WOLF OPTIMIZER BASED RECURRENT FUZZY REGRESSION FUNCTIONS FOR FINANCIAL DATASETS
Tak, Nihat (2020)Time series models are used extensively in many fields, such as medicine, engineering, business, economics, and finance, with the aim of making forecasts through the help of observation values from previous periods. ... -
Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting
Tak, Nihat (Taylor & Francis Ltd, 2021)Feed-forward neural networks have been frequently used in forecasting problems, recently. In this study, we propose a naive method to improve the forecasting ability of feed-forward neural networks with a single hidden ... -
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
Tak, Nihat (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 ... -
META FUZZY INDEX FUNCTIONS
Tak, Nihat (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 ... -
A Novel ARMA Type Possibilistic Fuzzy Forecasting Functions Based on Grey-Wolf Optimizer (ARMA-PFFs)
Tak, Nihat (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 ... -
Recurrent Type-1 Fuzzy Functions Approach for Time Series Forecasting
Tak, Nihat; Atıf, Evren; Müjgan, Tez; Erol, Eğrioğlu (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 possibilistic fuzzy forecasting functions
Tak, Nihat (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 ... -
Type-1 recurrent intuitionistic fuzzy functions for forecasting
Tak, Nihat (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 ...
