Power Generation Methods Classification using Ambiguous Fuzzy Averaging Operator

Finding the best ways to make power is a big decision that is affected by a lot of things that are linked to each other. This process is often messy and full of wrong knowledge. This paper uses the Ambiguous Fuzzy Averaging Operator (AFAO) to show a new way to look at and compare different ways of making electricity. In AFAO, different types of data are mixed together, even if some of them aren't clear or can't be trusted. When AFAO is used, factual data is collected that gives useful information about how efficient different power creation methods are compared to each other. The study shows the pros and cons of each method based on the set criteria, giving decision-makers a full understanding of the methods. This helps people who have to make decisions make smart choices that are in line with clear goals and limits. The comparison study is also looked at to show that the method being given can be used.