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Vedide Rezan Uslu · Study

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Vedide Rezan Uslu

8 works· latest 2013· 1 institutionscluster: provisionalORCID 0000-0003-2468-4956

h-index8

i108

Citations861

Works here8

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Most cited in this library

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations2008 · 182 citations
A new approach for determining the length of intervals for fuzzy time series2008 · 133 citations
A new approach based on artificial neural networks for high order multivariate fuzzy time series2009 · 127 citations
Finding an optimal interval length in high order fuzzy time series2009 · 114 citations
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model2008 · 97 citations

Works

8 shown

A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations

Swarm and Evolutionary Computation·2013·3 authors

56citations

Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market

Journal of Statistical Computation and Simulation·2011·4 authors

55citations

Fuzzy time series forecasting method based on Gustafson–Kessel fuzzy clustering

Expert Systems with Applications·2011·5 authors

97citations

Finding an optimal interval length in high order fuzzy time series

Expert Systems with Applications·2009·5 authors

114citations

A new approach based on artificial neural networks for high order multivariate fuzzy time series

Expert Systems with Applications·2009·5 authors

127citations

A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model

Expert Systems with Applications·2008·5 authors

97citations

A new approach for determining the length of intervals for fuzzy time series

Applied Soft Computing·2008·5 authors

133citations

Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations

Expert Systems with Applications·2008·5 authors

182citations