Abstract
Sustainable development is regarded as the achievement of continuous economic development without damaging the environment and natural resources. In today’s, competitive market, most of us are willing to pay less and earn more quickly without considering the negative externality to the environment and the quality of life of future generations. Considering this case, this paper investigates the study of the multi-objective multi-item solid transport problem with time-variant, taking into account the pollution minimization. The parameters of the multi-objective multi-item solid transport problem are taken as interval-valued trapezoidal fuzzy numbers. A new procedure is taken into consideration for converting multi-objective multi-item solid transport problem into deterministic form and then a hybrid method expressed with different membership function is used to solve the converted transport problem.
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Sifaoui, T., Aïder, M. (2022). A Multi-objective Solid Transportation Problem in Sustainable Development. In: Verdegay, J.L., Brito, J., Cruz, C. (eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-97344-5_16
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