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Toplam kayıt 13, listelenen: 1-10
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 ...
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 ...
Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age
(Federation Amer Soc Exp Biol, 2019)
Fungal and bacterial commensal organisms play a complex role in the health of the human host. Expansion of commensal ecology after birth is a critical period in human immune development. However, the initial fungal ...
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 ...
THE VALIDITY OF PURCHASING POWER PARITY IN THE BRICS COUNTRIES
(Univ Economics-Prague, 2018)
It is observed that purchasing power parity (PPP) as one of the controversial and most interesting topics of international macroeconomics literature is tested by using different econometric methods for certain countries ...
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 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 ...
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. ...