Fermatean Fuzzy Programming with New Score Function: A New Methodology to Multi-Objective Transportation Problems
M. K. Sharma, Kamini, Arvind Dhaka, Amita Nandal, Hamurabi Gamboa-Rosales, Francisco Eneldo López Monteagudo, Alejandra García Hernández, Vinh Truong Hoang
Abstract
The aim of this work is to establish a new methodology to tackle the multi-objective transportation problems [MOTP] in a Fermatean fuzzy environment that can deal with all the parameters that possess a conflicting nature. In our research work, we developed a new score function in the context of a fermatean nature for converting fuzzy data into crisp data with the help of the Fermatean fuzzy technique. Then, we introduced an algorithm-based methodology, i.e., the Fermatean Fuzzy Programming approach to tackle transportation problems with multi-objectives. The main purpose of this research work is to give an alternate fuzzy programming approach to handle the MOTP. To justify the potential and validity of our work, numerical computations have been carried out using our proposed methodology.