A Multi-Criteria Model For Sustainable Development Goals Using Fuzzy Goal Programming-Application For Egypt

Abstract Background: Sustainable development necessitates the implementation of policies that integrate various competing economic, environmental, energy, and social objectives. Multi-Criteria Decision Analysis using goal programming is a popular and widely used technique to study decision problems with multiple conflicting objectives. Fuzzy goal programming models are the most appealing choice since real-life situations frequently contain imprecise information. Results: This article proposes fuzzy goal programming model that combines optimal resource allocation with prospective goals for economic development, electricity consumption, employment, and greenhouse gas emission reduction in Egypt's primary economic sectors.The presented model analyses the prospects for improvement, the effort required, and the implementation of sustainable development strategies. The model also offers valuable insights to decision makers for both strategic planning and investment allocations towards sustainable development. We validate the model by applying it to Egypt's important economic sectors to meet the country's 2030 sustainable development goals. Conclusion: The model implies that Egypt's objective of GDP growth will not be met, and that further research and preparation is required. It also recommends that Egypt take some required measures in the direction of renewable technologies, such as solar and wind energy, which have enormous potential for achieving sustainability goals. This can also aid in meeting greenhouse gas emission targets, as well as meeting power consumption targets. The model also provides a quantitative and mathematical reason for additional investments in order to improve Egypt's energy portfolio composition.