Solving Trapezoidal Intuitionistic Fuzzy Assignment Problem Using Modified Best Candidate Method

Abstract

The concept of an Intuitionistic Fuzzy Number (IFN) is of importance for representing an ill-known quantity. Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. An assignment problem is a type of linear programming problem which deals with assigning various jobs to equal number of machines in such a way that the total cost is minimized by maximizing the profit. In this paper, we investigate Symmetric Trapezoidal Intuitionistic Fuzzy number by using a ranking procedure. The classical assignment problem expounded is solved by adopting Modified Best Candidate method which optimizes the cost efficiency.