中文摘要：

针对精益、敏捷、精敏供应链范式选择决策涉及到多种定性指标和定量指标这一特点，提出一种基于模糊集理论、熵和TOPSIS的混合型多属性决策模型。为了避免主观赋权法无法反映客观条件变化，或客观赋权法无法反映专家经验的双重弊端，在对定量指标赋权时，采用主观赋权的三角模糊数法和客观赋权的熵权法对定量指标进行组合赋权。对于定性指标仅依靠三角模糊数法确定其权重。然后，运用fuzzy TOPSIS法选择出最佳的供应链范式。最后通过实例对模型进行验证以及对评价指标权重进行敏感性分析，证实了该模型能为企业选择适用自身运作的供应链范式提供高效方法。

英文摘要：

Selecting lean, agile and leagile supply chain paradigms involves a variety of qualitative and quantitative indicators. Based on this feature, the fuzzy entropy-TOPSIS approach is proposed in this paper. Subjective weighting method can not reflect the change of objective conditions and the objective one can not reflect the expe- rience of experts. In order to avoid the double drawbacks above, this paper employs triangular fuzzy number to determine the qualitative indicators weights as well as the fuzzy-entropy weighting method to determine the quanti- tative ones. Then, the fuzzy TOPSIS is employed to generate an overall performance score for each supply chain paradigm. Finally, an example of supply chain paradigm selection and the sensitive analysis of the criteria weights are conducted to show that the proposed fuzzy entropy-TOPSIS approach is suitable for enterprises to choose the proper supply chain paradigm effectively.