Strategic Renewable Energy Resource Selection Using a Fuzzy Decision-Making Method

Renewable energy is created by renewable natural resources such as geothermal heat, sunlight, tides, rain, and wind. Energy resources are vital for all countries in terms of their economies and politics. As a result, selecting the optimal option for any country is critical in terms of energy investments. Every country is nowadays planning to increase the share of renewable energy in their universal energy sources as a result of global warming. In the present work, the authors suggest fuzzy multi-characteristic decision-making approaches for renewable energy source selection, and fuzzy set theory is a valuable methodology for dealing with uncertainty in the presence of incomplete or ambiguous data. This study employed a hybrid method for order of preference by resemblance to an ideal solution based on fuzzy analytical network process-technique, which agrees with professional assessment scores to be linguistic phrases, fuzzy numbers, or crisp numbers. The hybrid methodology is based on fuzzy set ideologies, which calculate alternatives in accordance with professional functional requirements using objective or subjective characteristics. The best- suited renewable energy alternative is discovered using the approach presented.