Yazar "Uslu, Vedide R." için listeleme
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Finding an optimal interval length in high order fuzzy time series
Egrioglu, Erol; Aladag, Cagdas Hakan; Yolcu, Ufuk; Uslu, Vedide R.; Basaran, Murat A. (Pergamon-Elsevier Science Ltd, 2010)Univariate fuzzy time series approaches which have been widely used in recent years can be divided into two classes, which are called first order and high order models. In the literature, it has been shown that high order ... -
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
Aladag, Cagdas H.; Basaran, Murat A.; Egrioglu, Erol; Yolcu, Ufuk; Uslu, Vedide R. (Pergamon-Elsevier Science Ltd, 2009)A given observation in time series does not only depend on preceding one but also previous ones in general. Therefore, high order fuzzy time series approach might obtain better forecasts than does first order fuzzy time ... -
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey
Aladag, Cagdas Hakan; Egrioglu, Erol; Yolcu, Ufufk; Uslu, Vedide R. (Ios Press, 2014)There have been many recently proposed methods for forecasting fuzzy time series. Most of them are, however, for non-seasonal fuzzy time series. A definition of seasonal fuzzy time series was firstly given by Song (Q. Song, ... -
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Egrioglu, Erol; Aladag, Cagdas Hakan; Yolcu, Ufuk; Uslu, Vedide R.; Basaran, Murat A. (Pergamon-Elsevier Science Ltd, 2009)Fuzzy time series methods have been recently becoming very popular in forecasting. These methods can be categorized into two subclasses that are univariate and multivariate approaches. It is a known fact that real time ... -
A new approach based on the optimization of the length of intervals in fuzzy time series
Egrioglu, Erol; Aladag, Cagdas Hakan; Basaran, Murat A.; Yolcu, Ufuk; Uslu, Vedide R. (Ios Press, 2011)In fuzzy time series analysis, the determination of the interval length is an important issue. In many researches recently done, the length of intervals has been intuitively determined. In order to efficiently determine ... -
A new approach for determining the length of intervals for fuzzy time series
Yolcu, Ufuk; Egrioglu, Erol; Uslu, Vedide R.; Basaran, Murat A.; Aladag, Cagdas H. (Elsevier, 2009)In the implementations of fuzzy time series forecasting, the identification of interval lengths has an important impact on the performance of the procedure. However, the interval length has been chosen arbitrarily in many ... -
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model
Egrioglu, Erol; Aladag, Cagdas Hakan; Yolcu, Ufuk; Basaran, Murat A.; Uslu, Vedide R. (Pergamon-Elsevier Science Ltd, 2009)In the literature, there have been many studies using fuzzy time series for the purpose of forecasting. The most studied model is the first order fuzzy time series model. In this model, an observation of fuzzy time series ... -
Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market
Yolcu, Ufuk; Aladag, Cagdas Hakan; Egrioglu, Erol; Uslu, Vedide R. (Taylor & Francis Ltd, 2013)Artificial intelligence procedures such as artificial neural networks (ANNs), genetic algorithms and particle swarm optimization and other procedures such as fuzzy clustering have been successfully used in the various ...
