Decision analysis for sustainable development: The case of renewable energy planning under uncertainty

Multi-Criteria Decision Analysis (MCDA) methods are increasingly used to aid decision-making for sustainable development. However, although uncertainty is present in all decision environments, dealing with incomplete and vague information analysis remains a challenge. Our objective simplify the incorporation of scoring alternatives MCDA processes. We modified ELimination Choice Translating REality (ELECTRE) III model, which performance scores expressed as lower/upper bounds then added model’s discrimination thresholds. Unlike other approaches developed literature (such those based on fuzzy set theory), our approach does not require additional knowledge apart from understanding ELECTRE model. To test its validity suitability, we apply it evaluation renewable energy resources Turkey – hydro, wind, geothermal, solar, biomass under five main criteria: technological, technical, economic, environmental, socio-politic. results indicate that wind best alternative Turkey, followed by solar energy, line country’s Vision 2023 targets.