International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 18 |
Year of Publication: 2023 |
Authors: Zikrullah Khan, Amal Kumar Adak |
10.5120/ijca2023922908 |
Zikrullah Khan, Amal Kumar Adak . Multi-Attribute Decision Making Method for Car Selection by Individuals. International Journal of Computer Applications. 185, 18 ( Jun 2023), 44-49. DOI=10.5120/ijca2023922908
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.