Chen Chun-Ho
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). 2021 Nov 28;23(12):1597. doi: 10.3390/e23121597.
This article will tell you how to combine "entropy" in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.
本文将告诉你如何在模型中结合“熵”来减少多准则评价的偏差。主观权重通常由决策者根据其专业背景、经验和知识等因素来确定。客观权重是通过基于方案评价准则的实际信息构建信息评价矩阵，并经过多步计算得到的。不同的决策方法基于不同的权重类型。仅考虑两种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，采购商必须在提供优质产品和/或服务的供应商中找到合适的商家。基于上述因素，很难选择合适的替代方案。本文的主要贡献是将网络分析法（ANP）、熵权法和逼近理想解排序法（TOPSIS）相结合，构建一个合适的多准则决策（MCDM）模型。通过ANP - 熵权法对TOPSIS方法进行扩展，用ANP - 熵权法代替主观权重。提出了一种基于ANP - 熵权TOPSIS的供应商选择决策模型。最后，敏感性分析表明，以建筑材料供应商的选择为例，混合ANP - 熵权TOPSIS方法能够有效地选择合适的供应商。
