Recognitive Approach to the Energy Policies and Investments in Renewable Energy Resources via the Fuzzy Hybrid Models
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- Zhao, Xue & Huang, Lu, 2022. "Understanding the dynamic role of natural resources, green technology, economic integration and social globalization towards sustainable environment in China," Resources Policy, Elsevier, vol. 79(C).
- Bartosz Radomski & Tomasz Mróz, 2023. "Application of the Hybrid MCDM Method for Energy Modernisation of an Existing Public Building—A Case Study," Energies, MDPI, vol. 16(8), pages 1-18, April.
- Shubin Wang & Qilei Liu & Hasan Dinçer & Serhat Yüksel, 2020. "Analysis of Innovation Performance for Retail Banking Industry With the Hybrid Fuzzy Decision-Making Approach," SAGE Open, , vol. 10(2), pages 21582440209, May.
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- Abba, Z.Y.I. & Balta-Ozkan, N. & Hart, P., 2022. "A holistic risk management framework for renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Chin-Tan Lee & Shih-Cheng Horng, 2020. "Abnormality Detection of Cast-Resin Transformers Using the Fuzzy Logic Clustering Decision Tree," Energies, MDPI, vol. 13(10), pages 1-19, May.
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- Sun, Yanpeng & Chang, Hsuling & Vasbieva, Dinara G. & Andlib, Zubaria, 2022. "Economic performance, investment in energy resources, foreign trade, and natural resources volatility nexus: Evidence from China's provincial data," Resources Policy, Elsevier, vol. 78(C).
- Tang, Shi & Ma, Yechi & Altuntaş, Mehmet, 2022. "Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression," Resources Policy, Elsevier, vol. 78(C).
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Keywords
investment; policy; renewable energy; correlation coefficients; DEMATEL; TOPSIS; interval type-2 fuzzy sets;All these keywords.
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