Abstract
In this work, we introduce the method for solving intuitionistic fuzzy transportation problem (IFTP) in which supplies and availability are crisp numbers and cost is intuitionistic fuzzy number (IFN). We are using centroid of IFN for the representative value of the intuitionistic fuzzy cost. In addition we are using allocation table method (ATM) to find an initial basic feasible solution (IBFS) for the IFTP. Moreover, this method is also good optimal solution in the literature and illustrated with numerical examples.
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This project was supported by the Theoretical and Computational Science (TaCS) Center (Project Grant No.TaCS2560-1).
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Hunwisai, D., Kumam, P., Kumam, W. (2018). A Method for Optimal Solution of Intuitionistic Fuzzy Transportation Problems via Centroid. In: Anh, L., Dong, L., Kreinovich, V., Thach, N. (eds) Econometrics for Financial Applications. ECONVN 2018. Studies in Computational Intelligence, vol 760. Springer, Cham. https://doi.org/10.1007/978-3-319-73150-6_7
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DOI: https://doi.org/10.1007/978-3-319-73150-6_7
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