Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry
| dc.authorid | 0000-0002-9858-1266 | |
| dc.authorid | 0000-0002-8072-031X | |
| dc.contributor.author | Zhou, Chao | |
| dc.contributor.author | Liu, Dongyu | |
| dc.contributor.author | Zhou, Pengfei | |
| dc.contributor.author | Luo, Jie | |
| dc.contributor.author | Yüksel, Serhat | |
| dc.contributor.author | Dinçer, Hasan | |
| dc.date.accessioned | 2020-07-29T06:29:54Z | |
| dc.date.available | 2020-07-29T06:29:54Z | |
| dc.date.issued | 2020 | |
| dc.department | İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü | |
| dc.description.abstract | Carbon emissions are a prominent issue for sustainable energy production and management. Energy policies under the growing competitive environment could change the priorities of emission reduction and investment decisions. This paper aims to forecast carbon emissions from China and to rank the importance of carbon emissions with interval type 2 (IT2) fuzzy sets (FS) for sustainable energy investments. For this purpose, the quadratic model is applied to measuring emission trends and the Qualitative Flexible Multiple Criteria Method (QUALIFLEX) is used for measuring sustainable energy investment alternatives by the several emission levels. Forecasted values of 29 provinces in China are converted into the linguistic and fuzzy numbers based on IT2 FS respectively to measure the priorities of emission reduction for sustainable economies. The novelty of this paper is to propose a hybrid decision-making approach based on quadratic modeling and the QUALIFLEX method and to discuss the overall energy emission trend and policies for sustainable economic growth. The results demonstrate that emission reduction policies are the most important phenomenon and the environmental factors should be widely considered to construct sustainable energy investments and production. | |
| dc.description.sponsorship | National Social Science Foundation of China | en_US |
| dc.identifier.citation | Zhou, C., Liu, D., Zhou, P., Luo, J., Yüksel, S. ve Dinçer, H. (2020). Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry. Energies, 13(9). https://dx.doi.org/10.3390/en13092220 | |
| dc.identifier.doi | 10.3390/en13092220 | |
| dc.identifier.issn | 1996-1073 | |
| dc.identifier.issue | 9 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.uri | https://dx.doi.org/10.3390/en13092220 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/5634 | |
| dc.identifier.volume | 13 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.relation.ispartof | Energies | 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 | Emission Reduction | |
| dc.subject | Energy Investments | |
| dc.subject | Sustainability | |
| dc.subject | Forecasting | |
| dc.subject | IT2 Fuzzy Sets | |
| dc.subject | Qualıflex | |
| dc.title | Hybrid predictive decision-making approach to emission reduction policies for sustainable energy industry | |
| dc.type | Article |
