Abstract
Based on network reputation,an integrated supplier selection problem was studied by using uncertainty theory.Firstly,the linear weight method was used to calculate the scores of suppliers according to their different reputation attributes.Secondly,considering the cost,demand and other internal and external environmental factors,fuzzy programming models were proposed to select the best combination of the suppliers and determine the order quantities.A hybrid intelligent algorithm,based on fuzzy simulation,genetic algorithm and neural network,was used to solve models.A numerical example was given to illustrate the effectiveness of the proposed models.
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