Modelling renewable energy usage with hesitant fuzzy cognitive map

Veysel Çoban; Sezi Çevik Onar

doi:10.1142/9789813146976_0109

Modelling renewable energy usage with hesitant fuzzy cognitive map

Veysel Çoban
, Sezi Çevik Onar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Renewable energy generated from solar and wind sources is an important alternative to non-renewable energy (coil, petroleum, etc.) whose sources are finite and becoming expensive in time. The tendency to the renewable energy usage increase the importance of the determining right technology in dynamic and uncertain real-world. In this study, we defined the factors around the generated solar and wind energy and represented the causal relationships among them linguistically. These linguistic relationships and initial state of factors are evaluated by new developed Hesitant Linguistic Cognitive Map method that is an extension of hesitant fuzzy sets and fuzzy cognitive map.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
Editörler	Jie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
Yayınlayan	World Scientific Publishing Co. Pte Ltd
Sayfalar	692-698
Sayfa sayısı	7
ISBN (Elektronik)	9789813146969
DOI'lar	https://doi.org/10.1142/9789813146976_0109
Yayın durumu	Yayınlandı - 2016
Etkinlik	Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France Süre: 24 Ağu 2016 → 26 Ağu 2016

Yayın serisi

Adı	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Ülke/Bölge	France
Şehir	Roubaix
Periyot	24/08/16 → 26/08/16

Bibliyografik not

Publisher Copyright:
© 2016 by World Scientific Publishing Co. Pte. Ltd.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 7 Erişilebilir ve Temiz Enerji

Belgeye Erişim

10.1142/9789813146976_0109

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çoban, V., & Onar, S. Ç. (2016). Modelling renewable energy usage with hesitant fuzzy cognitive map. In J. Lu, L. Koehl, E. E. Kerre, L. Martinez, & X. Zeng (Eds.), Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 (pp. 692-698). (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789813146976_0109

Çoban, Veysel ; Onar, Sezi Çevik. / Modelling renewable energy usage with hesitant fuzzy cognitive map. Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. editör / Jie Lu ; Ludovic Koehl ; Etienne E. Kerre ; Luis Martinez ; Xianyi Zeng. World Scientific Publishing Co. Pte Ltd, 2016. pp. 692-698 (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016).

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title = "Modelling renewable energy usage with hesitant fuzzy cognitive map",

abstract = "Renewable energy generated from solar and wind sources is an important alternative to non-renewable energy (coil, petroleum, etc.) whose sources are finite and becoming expensive in time. The tendency to the renewable energy usage increase the importance of the determining right technology in dynamic and uncertain real-world. In this study, we defined the factors around the generated solar and wind energy and represented the causal relationships among them linguistically. These linguistic relationships and initial state of factors are evaluated by new developed Hesitant Linguistic Cognitive Map method that is an extension of hesitant fuzzy sets and fuzzy cognitive map.",

author = "Veysel {\c C}oban and Onar, \{Sezi {\c C}evik\}",

note = "Publisher Copyright: {\textcopyright} 2016 by World Scientific Publishing Co. Pte. Ltd.; Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 ; Conference date: 24-08-2016 Through 26-08-2016",

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doi = "10.1142/9789813146976\_0109",

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publisher = "World Scientific Publishing Co. Pte Ltd",

pages = "692--698",

editor = "Jie Lu and Ludovic Koehl and Kerre, \{Etienne E.\} and Luis Martinez and Xianyi Zeng",

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Çoban, V & Onar, SÇ 2016, Modelling renewable energy usage with hesitant fuzzy cognitive map. in J Lu, L Koehl, EE Kerre, L Martinez & X Zeng (eds), Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, World Scientific Publishing Co. Pte Ltd, pp. 692-698, Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016, Roubaix, France, 24/08/16. https://doi.org/10.1142/9789813146976_0109

Modelling renewable energy usage with hesitant fuzzy cognitive map. / Çoban, Veysel; Onar, Sezi Çevik.
Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. ed. / Jie Lu; Ludovic Koehl; Etienne E. Kerre; Luis Martinez; Xianyi Zeng. World Scientific Publishing Co. Pte Ltd, 2016. p. 692-698 (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AB - Renewable energy generated from solar and wind sources is an important alternative to non-renewable energy (coil, petroleum, etc.) whose sources are finite and becoming expensive in time. The tendency to the renewable energy usage increase the importance of the determining right technology in dynamic and uncertain real-world. In this study, we defined the factors around the generated solar and wind energy and represented the causal relationships among them linguistically. These linguistic relationships and initial state of factors are evaluated by new developed Hesitant Linguistic Cognitive Map method that is an extension of hesitant fuzzy sets and fuzzy cognitive map.

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Çoban V, Onar SÇ. Modelling renewable energy usage with hesitant fuzzy cognitive map. In Lu J, Koehl L, Kerre EE, Martinez L, Zeng X, editörler, Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016. World Scientific Publishing Co. Pte Ltd. 2016. p. 692-698. (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016). doi: 10.1142/9789813146976_0109

Modelling renewable energy usage with hesitant fuzzy cognitive map

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BM SKH

Belgeye Erişim

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