On solving fully intuitionistic fuzzy transportation problem via branch and bound technique

Author:

Jansi Rani J.1,Dhanasekar S.1,Micheal David Raj1,Manivannan A.1

Affiliation:

1. Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India

Abstract

In dealing with real world transportation problems, several issues are frequently encountered as a result of uncontrollable factors. To deal this uncertainties, many authors have suggested transportation problems with intuitionistic fuzzy parameters. In this article, fully intuitionistic fuzzy transportation problem (InFTP) is considered in which the parameters are triangular intuitionistic fuzzy numbers. To solve this, initially intuitionistic fuzzy branch and bound technique are applied to get the initial basic feasible solution and then intuitionistic fuzzy modified distribution (InFMODI) method is applied to acquire the optimal solution of the fully InFTP. Also, a new ordering is developed here in which some properties of compensation, linearity, additive and partial order relations are satisfied. The optimal solution obtained from the proposed method satisfies the condition of optimality and feasibility. Finally, two numerical examples are provided to show the effectiveness of the proposed method.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An approach for solving fully generalized intuitionistic fuzzy transportation problems;Computational and Applied Mathematics;2023-10-08

2. Intuitionistic fuzzy multi-objective transportation model during pandemic COVID-19;International Journal of Modeling, Simulation, and Scientific Computing;2023-10

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