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Toplam kayıt 49, listelenen: 21-30
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 ...
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 ...
Fuzzy ID3 Algorithm On Linguistic Dataset By Using WABL Defuzzification Method
(Ieee, 2017)
In real life, most of information is presented with words. Also, classification is an important issue to make decisions in daily life. Fuzzy logic gives flexibility to handle the imprecise information for computing with ...
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 ...
Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting
(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 ...
ORGAN BAĞIŞINDA KAMU SPOTU ETKİSİNİN NİTEL TERCİH MODELLERİ İLE ANALİZİ
(Kırklareli Üniversitesi, 2017)
Amaç: Çalışmada, KırklareliÜniversitesi öğrencilerinin organ bağışı konusundaki yaklaşım ve tutumlarınaetki eden faktörler ele alınmıştır. Bu bağlamda Özellikle Diyanet İşleriBaşkanlığı’nın 2016 yılında yayınladığı Kamu ...
Health Expenditure and Economic Growth Relationship in the Case of Structural Break: A Case Study for Turkey
(Kırklareli Üniversitesi, 2012)
Çalışmada, ekonomik büyümenin temel unsurlarından biri olan sağlık ile ekonomik büyüme arasındaki ilişkinin araştırılması amaçlanmıştır. Bu amaç doğrultusunda Türkiye’de sağlık harcamaları ve GSYİH arasındaki ilişki ...
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 ...