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A conditional fuzzy inference approach in forecasting

Hassanniakalager, Arman; Sermpinis, Georgios; … - In: European journal of operational research : EJOR 283 (2020) 1, pp. 196-216

Persistent link: https://www.econbiz.de/10012161960

Input data range optimization for freight rate forecasting using the rolling window testing procedure

Gharehgozli, Amir Hossein; Duru, Okan; Bulut, Emrah - In: International journal of transport economics : IJTE 45 (2018) 3, pp. 393-413

Persistent link: https://www.econbiz.de/10012041068

The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods

Yolcu, Ufuk; Bas, Eren - In: Comparative economic research : Central and Eastern Europe 19 (2016) 2, pp. 5-25

Persistent link: https://www.econbiz.de/10011618799

Design trend forecasting by combining conceptual analysis and semantic projections : new tools for open innovation

Manetti, Alessandro; Ferrer-Sapena, Antonia; Sánchez … - In: Journal of open innovation : technology, market, and … 7 (2021) 1/92, pp. 1-26

In this paper, we describe a new trend analysis and forecasting method (Deflexor), which is intended to help inform …

Persistent link: https://www.econbiz.de/10012491187

The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods

Yolcu, Ufuk; Bas, Eren - In: Comparative economic research : Central and Eastern Europe 19 (2016) 2, pp. 5-25

forecasting performance, the interest on fuzzy time series approaches is increasing rapidly. Fuzzy time series methods have been … many studies on their forecasting. In this study, we aim to forecast the labour force participation and unemployment rate …

Persistent link: https://www.econbiz.de/10011869511

Evolving fuzzy-GARCH approach for financial volatility modeling and forecasting

Maciel, Leandro; Gomide, Fernando; Ballini, Rosangela - In: Computational economics 48 (2016) 3, pp. 379-398

Persistent link: https://www.econbiz.de/10011712504

Forecasting forex trend indicators with fuzzy rough sets

Garza Sepúlveda, J. C.; Lopez-Irarragorri, F.; … - In: Computational economics 62 (2023) 1, pp. 229-287

Persistent link: https://www.econbiz.de/10014327495

Air quality management using genetic algorithm based heuristic fuzzy time series model

Bhagat, Lalit; Goyal, Gunjan; Bisht, Dinesh C. S.; Ram, … - In: The TQM journal : the international review of … 35 (2023) 1, pp. 320-333

Persistent link: https://www.econbiz.de/10014321185

Tourism demand forecasting using nonadditive forecast combinations

Hu, Yi-Chung; Wu, Geng; Jiang, Peng - In: Journal of hospitality & tourism research : JHTR ; the … 47 (2023) 5, pp. 775-799

Persistent link: https://www.econbiz.de/10014292003

Multivariate picture fuzzy time series : new definitions and a new forecasting method based on pi-sigma artificial neural network

Bas, Eren; Egrioglu, Erol; Tunc, Taner - In: Computational economics 61 (2023) 1, pp. 139-164

Persistent link: https://www.econbiz.de/10014228419