Affiliation:
1. Dr. B. R. Ambedkar National Institute of Technology
2. Islamic Azad University, Qaemshahr Branch
Abstract
In this study, we consider an unbalanced fully rough interval transportation problem, where all the parameters and decision variables are represented by rough interval numbers. A method named as split and separation method has been proposed in the literature to find the optimal solution of balanced fully rough interval transportation problem. As per our knowledge, no method exists in the literature to solve an unbalanced fully rough interval transportation problem. Therefore, a new method is proposed in this study to solve such problem. Using proposed methodology, firstly the unbalanced problem is converted into a balanced one and then the optimal solution of the balanced problem is obtained. To show the applicability of the proposed methodology, a numerical example is solved. Finally, the study’s conclusions and future research directions are discussed.
Subject
Geometry and Topology,Statistics and Probability,Algebra and Number Theory,Analysis
Reference35 articles.
1. [1] A.Y. Adhami and F. Ahmad, Interactive Pythagorean-hesitant fuzzy computational
algorithm for multi-objective transportation problem under uncertainty, Int. J. Manag.
Sci. Eng. Manag. 15 (4), 288-297, 2020.
2. [2] M.M. Ahmed, A.R. Khan, M.S. Uddin and F. Ahmed, A new approach to solve
transportation problems, Open J. Optim. 5, 22-30, 2016.
3. [3] A. Akilbasha, G. Natarajan and P. Pandian, Finding an optimal solution of the interval
integer transportation problems with rough nature by split and separation method,
Int. J. Pure Appl. Math. 106 (6), 1-8, 2016.
4. [4] B. Amaliah, C. Fatichah and E. Suryani, A supply selection method for better feasible
solution of balanced transportation problem, Expert Syst. Appl. 203, 1-9, 2022.
5. [5] P. Anukokila, B. Radhakrishnan and A. Anju, Goal programming approach for solving
multi-objective fractional transportation problem with fuzzy parameters, RAIRO Oper.
Res. 53, 157-178, 2019.