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• W2734882704 abstract "This paper explores the potential use of the meta-goal programing approach (meta-GP) for solving multi-criteria de Novo programing problems. Methodologically, the objectives of the de Novo programing problem are converted into meta-goals during formulation, following the meta-GP technique proposed by Rodriguez-Uría, Caballero, Ruiz, and Romero (2002), to arrive at the most satisfactory decision in the multi-objective decision-making context. This approach is shown superior to the conventional ‘multi-criteria solution procedure’ for the de Novo programing problem, in that it provides decision-makers with more flexibility in expressing their preferences, by merging the original explicit goals as meta-goals. Finally, the application of the proposed model to a decision case in identifying the best plan for the exploitation of wind energy sourcing is provided, illustrating the effectiveness of the proposed novel solution approach." @default.
• W2734882704 created "2017-07-21" @default.
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• W2734882704 date "2018-02-01" @default.
• W2734882704 modified "2023-09-30" @default.
• W2734882704 title "Meta goal programing approach for solving multi-criteria de Novo programing problem" @default.
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• W2734882704 doi "https://doi.org/10.1016/j.ejor.2017.07.035" @default.
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