A fixed charge solid transportation problem with possibility and expected value approaches in hybrid uncertain environment

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Abstract

The main investigation of the paper is to develop the restricted fixed charge solid transportation problem under a hybrid uncertain environment where fuzziness and roughness coexist. A fuzzy rough STP model is developed by integrating the classical STP, fuzzy set theory, and rough set theory, which apparently provide a way to accommodate the uncertainty. For solving the problem, we apply the fuzzy rough expected value operator and propose the possibility based STP model with fuzzy rough parameters on a rough space. A numerical example is presented to describe the fuzzy rough approach using Lingo 13.0 optimization software. Finally, a graphical presentation has also shown to describe the comparison between two proposed approaches. Some important managerial decisions are also drawn by observing the optimal result.

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Sengupta, D., Das, A., Dutta, A., & Bera, U. K. (2020). A fixed charge solid transportation problem with possibility and expected value approaches in hybrid uncertain environment. In Studies in Computational Intelligence (Vol. 863 SCI, pp. 182–193). Springer. https://doi.org/10.1007/978-3-030-34152-7_14

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