Implementation of Fuzzy TOPSIS Method for Decision Making in Car Selection

Abstract

This paper aims to implement the fuzzy TOPSIS method for solving the car selection problem. The fuzzy linguistic preference scale for measuring alternatives’ rating and criteria weight is developed using linguistic terms represented as triangular fuzzy number. The comparative analysis of available alternatives is carried out. The ranking order of alternatives is determined with respect to distance of closeness coefficient of each alternative to positive and negative ideal solutions. A numerical example for describing the proposed method is presented. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.