SAFE 2025 National Sustainability Assessment

Sustainability Assessment by Fuzzy Evaluation (SAFE) is a model widely used to measure sustainability in the context of nations, cities, corporations and other entities. Its 2025 version presented here provides sustainability scores and rankings for 161 countries. SAFE uses time series for 68 basic...

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Veröffentlicht in:IEEE International Conference on System of Systems Engineering (Online) S. 1 - 6
Hauptverfasser: Kouikoglou, Vassilis, Phillis, Yannis
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 08.06.2025
Schlagworte:
fuzzy reasoning
national sustainability
optimal policies
Renewable energy sources
Sensitivity analysis
Smoothing methods
Socioeconomics
Stress
sustainability indicators
Sustainable development
System of systems
Time measurement
Time series analysis
Urban areas
ISSN:2835-3161
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Beschreibung
Zusammenfassung:Sustainability Assessment by Fuzzy Evaluation (SAFE) is a model widely used to measure sustainability in the context of nations, cities, corporations and other entities. Its 2025 version presented here provides sustainability scores and rankings for 161 countries. SAFE uses time series for 68 basic indicators regarding environmental and socioeconomic national performance. Each time series is converted to a single sustainability score between 0 and 1 via appropriate smoothing, imputation and normalization algorithms to remove measurement noise and fill in missing values. A multistage rulebased fuzzy inference procedure aggregates the normalized indicators into composite variables which yield an ecological and human component per country. These two components are finally aggregated into an overall sustainability index. Next a sensitivity analysis uncovers the most important indicators that affect sustainability. Most countries have made modest progress towards sustainability over 2000-2024. Developed countries exhibit contradictory performance. Several of them occupy the top places of the ranking but others show a decline in both the ecological and human components.
ISSN:2835-3161
DOI:10.1109/SoSE66311.2025.11083797