Chen Chun-Ho
Professional Architect and Urban Planner, Bachelor Program of Real Estate Investment and Management, Takming University of Science and Technology, No.56, Sec. 1, Huanshan Rd., Neihu District, Taipei 11451, Taiwan.
Entropy (Basel). 2020 Feb 24;22(2):259. doi: 10.3390/e22020259.
The type of criterion weight can be distinguished according to different decision methods. Subjective weights are given by decision makers based on their knowledge, experience, expertise, and other factors. Objective weights are obtained through multi-step calculations of the evaluation matrix constructed from the actual information about the evaluation criteria of the alternatives. A single consideration of these two types of weights often results in biased results. In addition, in order to build an effective supply chain source, buyers must find suitable quality products and/or service providers in the process of supplier selection. Based on the above reasons, it is difficult to accurately select the appropriate alternative. The main contribution of this paper is to combine entropy weight, analytic hierarchy process (AHP) weight, and the technique for order preference by similarity to an ideal solution (TOPSIS) method into a suitable multi-criteria decision making (MCDM) solution. The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.
可以根据不同的决策方法来区分准则权重的类型。主观权重由决策者根据他们的知识、经验、专业知识和其他因素给出。客观权重是通过对由关于备选方案评估标准的实际信息构建的评估矩阵进行多步计算得到的。仅考虑这两种类型的权重中的一种往往会导致有偏差的结果。此外，为了建立有效的供应链源头，采购方在供应商选择过程中必须找到合适的优质产品和/或服务提供商。基于上述原因，很难准确选择合适的备选方案。本文的主要贡献是将熵权法、层次分析法（AHP）权重和逼近理想解排序法（TOPSIS）方法结合成一个合适的多准则决策（MCDM）解决方案。利用熵 - AHP权重对TOPSIS方法进行扩展，并使用熵 - AHP权重代替主观权重。提出了一种新颖的集成熵 - AHP权重的TOPSIS决策模型来选择合适的供应商。最后，以建筑材料供应商的选择为例，通过敏感性分析表明基于熵 - AHP权重的TOPSIS方法的组合能够有效地选择合适的供应商。
