Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony (English)
- New search for: Egrioglu, Erol
- New search for: Yolcu, Ufuk
- New search for: Bas, Eren
- New search for: Egrioglu, Erol
- New search for: Yolcu, Ufuk
- New search for: Bas, Eren
In:
Granular computing
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4
, 4
; 639-654
;
2019
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ISSN:
- Article (Journal) / Print
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Title:Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony
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Contributors:
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Published in:Granular computing ; 4, 4 ; 639-654
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Publisher:
- New search for: Springer
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Place of publication:Cham
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Publication date:2019
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 54.70 / 54.70
- Further information on Basic classification
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Source:
Table of contents – Volume 4, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 615
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Portfolio optimization with perception-based risk measures in dynamic fuzzy asset managementYoshida, Yuji et al. | 2018
- 629
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Type 1 fuzzy function approach based on ridge regression for forecastingBas, Eren / Egrioglu, Erol / Yolcu, Ufuk / Grosan, Crina et al. | 2018
- 639
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Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colonyEgrioglu, Erol / Yolcu, Ufuk / Bas, Eren et al. | 2018
- 655
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Hesitant fuzzy set based computational method for financial time series forecastingBisht, Kamlesh / Kumar, Sanjay et al. | 2018
- 671
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Examining stock index return with pattern recognition model based on cumulative probability-based granulating method by expert knowledgeChen, Tai-Liang / Chen, Feng-Yu et al. | 2018
- 687
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Weighted-fuzzy-relations time series for forecasting information technology maintenance costChang, Jing-Rong / Yu, Pei-Yu et al. | 2019
- 699
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A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy setsGupta, Krishna Kumar / Kumar, Sanjay et al. | 2019
- 715
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Nature-inspired framework of ensemble learning for collaborative classification in granular computing contextLiu, Han / Cocea, Mihaela et al. | 2018
- 725
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An outranking approach for hesitant 2-tuple linguistic setsFaizi, Shahzad / Rashid, Tabasam / Zafar, Sohail et al. | 2018
- 739
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Hesitant probabilistic fuzzy set based time series forecasting methodGupta, Krishna Kumar / Kumar, Sanjay et al. | 2018
- 759
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Correction to: Interactive granular computingSkowron, Andrzej / Jankowski, Andrzej / Dutta, Soma et al. | 2018