Bölüm "Fakülteler, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 22, listelenen: 1-20
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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 ... -
Application of machine learning to the prediction of postoperative sepsis after appendectomy
(Mosby-Elsevier, 2021)Background: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with ... -
Classification with Fuzzy OWA Distance
(Ieee, 2014)OWA (Ordered Weighted Averaging) Distance Based CxK Nearest Neighbor Algorithm (CxK-NN) via L-R fuzzy data is performed with two different fuzzy metric measures. We use fuzzy metric defined by Diamond and a weighted ... -
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 EFFECT ON TRUST TO ORGANIZATION AND PSYCHOLOGICAL CONTRACT VIOLATION: AN APPLICATION
(Pressacademia, 2016)Psychological contract is scrutinized by different researchers recently (Robinson, 1996; Robinson ve Rousseau, 1994; Guest, 1998; Morrison ve Robinson, 1997). It reflects the mutual beliefs, perceptions, and informal ... -
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 ... -
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 ... -
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 ... -
A Fuzzy Rule Based Approach to Geographic Classification of Virgin Olive Oil Using T-Operators
(Intech Europe, 2018)Olive oil is an important agricultural food product. Especially, protected designation of origin (PDO) and protected geographic indications (PGI) are useful to protect the intellectual property rights of the consumers and ... -
Gradient boosting for Parkinson's disease diagnosis from voice recordings
(Bmc, 2020)Background Parkinson's Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which often ... -
Machine learning analysis on American Gut Project microbiome data to identify subjects with cancer both with and without chemotherapy exposure.
(Lippincott Williams & Wilkins, 2020)[Abstract Not Available] -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of ... -
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 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 ...