Items where Author is "Uslu, Vedide R."

Journal Article

Aladag, Cagdas Hakan and Egrioglu, Erol and Yolcu, Ufufk and Uslu, Vedide R. (2014) A high order seasonal fuzzy time series model and application to international tourism demand of Turkey. Journal of Intelligent and Fuzzy Systems, 26 (1). pp. 295-302. ISSN 1064-1246

Yolcu, Ufuk and Aladag, Cagdas Hakan and Egrioglu, Erol and Uslu, Vedide R. (2013) Time-series forecasting with a novel fuzzy time-series approach : An example for Istanbul stock market. Journal of Statistical Computation and Simulation, 83 (4). pp. 597-610. ISSN 0094-9655

Egrioglu, Erol and Aladag, Cagdas Hakan and Basaran, Murat A. and Yolcu, Ufuk and Uslu, Vedide R. (2011) A new approach based on the optimization of the length of intervals in fuzzy time series. Journal of Intelligent and Fuzzy Systems, 22 (1). pp. 15-19. ISSN 1064-1246

Egrioglu, Erol and Aladag, Cagdas Hakan and Yolcu, Ufuk and Uslu, Vedide R. and Basaran, Murat A. (2010) Finding an optimal interval length in high order fuzzy time series. Expert Systems with Applications, 37 (7). pp. 5052-5055. ISSN 0957-4174

Egrioglu, Erol and Aladag, Cagdas Hakan and Yolcu, Ufuk and Uslu, Vedide R. and Basaran, Murat A. (2009) A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Systems with Applications, 36 (7). pp. 10589-10594. ISSN 0957-4174

Egrioglu, Erol and Aladag, Cagdas Hakan and Yolcu, Ufuk and Basaran, Murat A. and Uslu, Vedide R. (2009) A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model. Expert Systems with Applications, 36 (4). pp. 7424-7434. ISSN 0957-4174

Yolcu, Ufuk and Egrioglu, Erol and Uslu, Vedide R. and Basaran, Murat A. and Aladag, Cagdas H. (2009) A new approach for determining the length of intervals for fuzzy time series. Applied Soft Computing Journal, 9 (2). pp. 647-651. ISSN 1568-4946

Aladag, Cagdas H. and Basaran, Murat A. and Egrioglu, Erol and Yolcu, Ufuk and Uslu, Vedide R. (2009) Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Systems with Applications, 36 (3 PART). pp. 4228-4231. ISSN 0957-4174