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- W4385883265 abstract "In real life, we come across the problems that are defined with greater degree of uncertainty and hesitancy due to which the decision makers fail to furnish with meticulous values of decision variables. Employing the intuitionistic fuzzy set theory the decision makers can determine the acceptance degree, rejection degree and degree of hesitancy of the desired variables. The fluctuating cost, varying demand and all other changing parameters accentuated us to formulate and solve the linear fractional transportation model under fuzzy environment. In the proposed methodology, fuzzy arithmetic operations and ordering function on fully intuitionistic fuzzy multi-objective linear fractional transportation problem (FIFMOLFTP) is applied. Then, FIFMOLFTP is transformed into its crisp equivalent multi-objective linear fractional transportation problem (MOLFTP). To solve MOLFTP, it is further transmuted to an equivalent linear programming problem (LPP) by weighted goal programming approach. The computed goals are expressed mathematically in terms of membership functions which is interpreted in the form of satisfaction level of decision makers. The weighted goal programming model is formulated and the equivalence between them is established. The computation of the obtained model is performed on easily available software. A numerical illustration is described to support our proposed methodology." @default.
- W4385883265 created "2023-08-17" @default.
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- W4385883265 date "2023-01-01" @default.
- W4385883265 modified "2023-10-14" @default.
- W4385883265 title "An Algorithm for Fully Intuitionistic Fuzzy Multiobjective Transportation Problem with a Goal Programming Perspective" @default.
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- W4385883265 doi "https://doi.org/10.1007/978-3-031-39774-5_60" @default.
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