Hesitant linguistic term sets-based hybrid analysis for renewable energy investments

Wang, Shubin; Liu, Qilei; Yüksel, Serhat; Dinçer, Hasan

Hesitant linguistic term sets-based hybrid analysis for renewable energy investments

dc.authorid	0000-0002-9858-1266
dc.authorid	0000-0002-8072-031X
dc.contributor.author	Wang, Shubin
dc.contributor.author	Liu, Qilei
dc.contributor.author	Yüksel, Serhat
dc.contributor.author	Dinçer, Hasan
dc.date.accessioned	2019-12-26T09:14:52Z
dc.date.available	2019-12-26T09:14:52Z
dc.date.issued	2019
dc.department	İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstract	The aim of this study is to evaluate different renewable energy investments alternatives. Within this framework, six different criteria are chosen to represent financial and non-financial dimensions. Additionally, five renewable energy investment alternatives (biomass, hydropower, geothermal, wind and solar) are selected. Fuzzy AHP and fuzzy DEMATEL methods are considered to weight these criteria whereas alternatives are ranked by using fuzzy TOPSIS and fuzzy VIKOR approaches. The findings show that fuzzy AHP and fuzzy DEMATEL methods also give coherent results. It is concluded that environmental effects and earnings are the most significant criteria. Moreover, wind and solar are the most attractive renewable energy investment alternatives. Therefore, it is recommended that governmental incentives should be widely used for effective location selection of both energy alternatives. This situation could be also attractive for foreign investors in renewable energy market. In addition, large-scale investments should be handled by merger and acquisition to increase overall performance. Hence, it can be possible to raise earnings, improve capital adequacy and enhance organizational capacity with the extensive investments. Furthermore, easy access to the sources and good contract conditions should also be provided for this purpose so that it can be much easier to attract the attention of these investors. Also, customer expectations should be understood effectively with a detailed analysis. With the help of this issue, appropriate products can be presented according to customer needs and it significantly contributes to the success in renewable energy investment.
dc.description.sponsorship	National Natural Science Foundation of China	en_US
dc.description.sponsorship	Ministry of Education, China	en_US
dc.description.sponsorship	Social Science Foundation of Shaanxi Province	en_US
dc.identifier.citation	Wang, S., Liu, Q., Yüksel, S. ve Dinçer, H. (2019). Hesitant linguistic term sets-based hybrid analysis for renewable energy investments. IEEE Access, 7, 114223-114235. http://doi.org/10.1109/ACCESS.2019.2935427
dc.identifier.doi	10.1109/ACCESS.2019.2935427
dc.identifier.endpage	114235
dc.identifier.issn	2169-3536
dc.identifier.scopusquality	Q1
dc.identifier.startpage	114223
dc.identifier.uri	http://doi.org/10.1109/ACCESS.2019.2935427
dc.identifier.uri	https://hdl.handle.net/20.500.12511/4722
dc.identifier.volume	7
dc.identifier.wosquality	Q2
dc.indekslendigikaynak	Web of Science
dc.indekslendigikaynak	Scopus
dc.language.iso	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Access	en_US
dc.relation.publicationcategory	Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rights	Attribution 4.0 International	*
dc.rights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject	Hesitant Linguistic Terms
dc.subject	Fuzzy Logic
dc.subject	AHP
dc.subject	DEMATEL
dc.subject	TOPSIS
dc.subject	VIKOR
dc.subject	Decision Making
dc.subject	Renewable Energy
dc.subject	Investment
dc.subject	Finance
dc.title	Hesitant linguistic term sets-based hybrid analysis for renewable energy investments
dc.type	Article