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This dataset compromises the decision problem for renewable energy planning in Turkey, adopted from the literature (Kahraman and Kaya 2010; Erdogan and Kaya 2015; Mousavi et al. 2017). The decision problem consists in evaluating and selecting the most appropriate renewable energy alternative for Turkey, and includes: Five alternatives (Hydro, Wind, Solar, Biomass, and Geothermal). Five dimensions fo criteria (Technological, Technical, Economical, Environmental, and Socio-politic), with 31 sub-criteria. Weights of criteria. Direction of criteria: "max" if the sub-criterion needs to be maximized ("bigger is better”) and "min" if it needs to be minimized (”smaller is better”). The dataset is used in the following paper: Ezbakhe, F. and Pérez-Foguet, A. (2019) Decision analysis for sustainable development: the case of renewable energy planning under uncertainty. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.02.037
Renewable energy, Turkey, Multi-criteria decision analysis, Dataset
Renewable energy, Turkey, Multi-criteria decision analysis, Dataset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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