Solving Symmetric Octagonal Intuitionistic Fuzzy Assignment Problem using Modified Best Candidate Method

Authors

  • M.Maragatham Associate Professor of Mathematics PG and Research Department of Mathematics Thanthai Periyar Govt. Arts and Science College (Autonomous)* Tiruchirappalli
  • L.Suzane Raj Research Scholar PG and Research Department of Mathematics Thanthai Periyar Govt. Arts and Science College (Autonomous)* Tiruchirappalli

Keywords:

Best candidate method, Symmetric Octagonal Intuitionistic Fuzzy number fuzzy number, Defuzzification technique.

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, the cost of the Fuzzy Assignment Problem is considered as Symmetric Octagonal Intuitionistic Fuzzy number and it is defuzzified by using a ranking procedure. The classical assignment problem expounded is solved by adopting Modified Best Candidate method which optimizes the cost efficiency.The procedure is illustrated with a numerical Example.

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Published

2024-09-22

How to Cite

M.Maragatham, & L.Suzane Raj. (2024). Solving Symmetric Octagonal Intuitionistic Fuzzy Assignment Problem using Modified Best Candidate Method. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 599–604. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1115

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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