Abstract

Purchasing management is most essential in todays competitive world, especially the most useful and essential purchase of the car by individuals. With the development of management and economics, real-world decision-making problems are becoming diversified and complicated to an increasing extent, especially within a changeable and unpredictable environment. Multi-attribute decision making is a decision-making technique that explicitly evaluates numerous contradictory criteria. There are many characteristics possessed by car like engine displacement, mileage in city and highway, max power, comfort, attractiveness, cost etc. and a customer has to choose the best car among several brand cars. In this paper, TOPSIS are used to find best car to be purchased. TOPSIS is a well-known multi-criteria decision-making process. The distance between two Pythagorean fuzzy numbers are utilised 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 utilised. Finally, demonstrate proposed method to solve a car selection problems from different brands with different attributes for customer. In addition, it shows comparative data from the relative closeness and updated index methods.

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