spherical distance measurement method for solving mcdm problems under pythagorean fuzzy environment

Multiple criteria decision analysis (mcda) has been widely investigated and successfully applied to many fields,owing to its great capability of modeling the process of actual decision-making problems and establishing proper evaluation and assessment mechanisms. with the development of management and economics, real-world decision-making problem are becoming diversified and complicated to an increasing extent, especially within a changeable and unpredictable enviroment. multi-criteria is a decision-making technique that explicitly evaluates numerous contradictory criteria. topsis is a well-known multi-criteria decision-making process. the goal of this research is to use topsis to solve mcdm problems in a pythagorean fuzzy environment. the distance between two pythagorean fuzzy numbers is utilized to create the model using the spherical distance measure. to construct a ranking order of alternatives and determine the best one,the revised index approach is utilized. finally, we look at a set of mcdm problems to show how the proposed method and approach work in practice. in addition, it shows comparative data from the relative closeness and updated index methods.