Effect on Decision Making Processes of Pythagorean Fuzzy Set

Pythagorean Fuzzy Set concept is a more flexible approach that encompasses fuzzy sets and intuitionistic fuzzy sets in the uncertainty modeling process. The concept offers a new approach for jointly evaluating membership and non-membership degrees. This approach allows decision makers to express uncertainty over a wider range. Therefore, Pythagorean fuzzy sets offer higher representational power than intuitionistic fuzzy sets and are particularly effective in solving complex problems such as multi-criteria decision making, risk analysis, expert systems. Decision making is an approach that aims to systematically analyze decision problems that consider multiple criteria. This method allows the decision maker to evaluate both qualitative and quantitative factors to make the most appropriate choice among alternatives. Among the most commonly used methods, AHP, TOPSIS and PROMETHEE are prominent, aiming to determine the relative advantages of alternatives under different assumptions. Today, fuzzy logic and its extended forms, intuitionistic and pythagorean fuzzy approaches, are frequently integrated into decision making processes to reduce the influence of uncertainty, expert judgment, and subjective assessments. This allows decision models to more effectively represent the complex and uncertain situations encountered in real life problems. This study presents an example of the impact of pythagorean fuzzy sets on decision-making processes.