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Energies
Volume 13
Issue 9
10.3390/en13092220
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Article

Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry

by
Chao Zhou
1,
Dongyu Liu
2,
Pengfei Zhou
3,*,
Jie Luo
4,
Serhat Yuksel
5 and
Hasan Dincer
5,*
1
School of Business, Chongqing College of Electronic Engineering, Chongqing 401331, China
2
School of Economics and Business Administration, Chongqing University, Chongqing 400030, China
3
School of Economics and Management, Chongqing Normal University, Chongqing 401331, China
4
School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
5
School of Business, Istanbul Medipol University, 34810 Istanbul, Turkey
*
Authors to whom correspondence should be addressed.
Energies 2020, 13(9), 2220; https://doi.org/10.3390/en13092220
Submission received: 1 April 2020 / Revised: 23 April 2020 / Accepted: 23 April 2020 / Published: 2 May 2020
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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.
Keywords: emission reduction; energy investments; sustainability; forecasting; IT2 fuzzy sets; QUALIFLEX emission reduction; energy investments; sustainability; forecasting; IT2 fuzzy sets; QUALIFLEX

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MDPI and ACS Style

Zhou, C.; Liu, D.; Zhou, P.; Luo, J.; Yuksel, S.; Dincer, H. Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry. Energies 2020, 13, 2220. https://doi.org/10.3390/en13092220

AMA Style

Zhou C, Liu D, Zhou P, Luo J, Yuksel S, Dincer H. Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry. Energies. 2020; 13(9):2220. https://doi.org/10.3390/en13092220

Chicago/Turabian Style

Zhou, Chao, Dongyu Liu, Pengfei Zhou, Jie Luo, Serhat Yuksel, and Hasan Dincer. 2020. "Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry" Energies 13, no. 9: 2220. https://doi.org/10.3390/en13092220

APA Style

Zhou, C., Liu, D., Zhou, P., Luo, J., Yuksel, S., & Dincer, H. (2020). Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry. Energies, 13(9), 2220. https://doi.org/10.3390/en13092220

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