Renewable energy resources refer to natural sources of energy that are replenished on a human timescale and are considered more sustainable and environmentally friendly compared to fossil fuels. These energy sources are crucial for reducing carbon emissions, mitigating climate change, and ensuring a cleaner, more sustainable energy future. Selecting renewable energy resources in an uncertain environment is a complex decision-making process that includes evaluating multiple attributes under conditions of uncertainty, such as fluctuating energy prices, changing government policies, varying resource availability such as solar, wind, hydro), and technological advancements. Fuzzy multi-criteria decision-making methods provide a structured approach to compare various alternatives based on several criteria while accounting for these uncertainties. The region under consideration has a mix of sunny, windy and rainy days throughout the year, but solar, wind and hydro resources have significant uncertainty. The solar resource varies by season and location, and weather patterns are difficult to predict. There are government incentives, but they may change overtime. The wind resource can fluctuate, and while the region has an average annual wind speed that supports wind power, there are periods of low wind intensity. Hydropower can be a highly valuable energy source, its performance and feasibility are affected by different uncertain conditions, such as water availability, climate change, regulatory and environmental factors. In this paper, the fuzzy multi-criteria decision-making method with fuzzy Z-numbers is employed to assess renewable energy resources such as solar, wind, hydro based on factors like economic factors, environmental impact, and technical feasibility.