Abstract
A transportation model is an appropriate case for the linear programming problem. This paper focuses on solving fuzzy transportation problems by assuming that a decision maker is only uncertain about the precise values of the transportation cost and not about the supply and demand of the product. In this method transportation, costs are represented by generalized quadratic fuzzy numbers. It deals with transporting the bearings of alien article from sources to destinations in which both the capacity (tons) absolute and requirements (tons) are accepted as generalized quadratic fuzzy numbers. In this paper, an appropriate type of optimal solution of Band-Aid for application was produced from GQFVAM and GQFMODI method.
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The authors would like to thank to the editor-in-chief and the anonymous reviewers for their suggestions that have led to an improvement in both the quality and clarity of the paper
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Venkatachalapathy, M., Muthuperumal, S., Rajasekar, R. (2022). An Innovative Method for Finding Optimal Solution Fully Solved by Using Generalized Quadratic Fuzzy Transportation Problems. In: Kannan, S.R., Last, M., Hong, TP., Chen, CH. (eds) Fuzzy Mathematical Analysis and Advances in Computational Mathematics. Studies in Fuzziness and Soft Computing, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-19-0471-4_3
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