Considering all of the criteria involved in vendor evaluation makes it a difficult Multi-Criteria Decision-Making (MCDM) problem. In this case, they factor in DMs that are knowledgeable about the suppliers and their needs. Rating, a multi-criteria assessment method based on optimum scoring is proposed in this work. To meet the requirements of the decision-making process, this method employs rating-Based Optimal-Point Sorting (RBOP). A tried-and-true MCDM method can consistently find the option that will make the DM happy by first modeling the decision-making process after how humans really behave. Additionally, they create a new subjective scoring mechanism for the MCDM that is based on human behavior; they call it the win-loss-draw (WLD) method. They apply their methods to a case study that is based on actual Iranian cheese company operations in order to find the best possible cheese supplier for a hypermarket in Iran. The WLD approach had an effect on the RBOP strategy’s findings, which differ somewhat from the other MCDM methods. The WLD method increased spread and optimum regions throughout the choosing process.

考虑供应商评估中涉及的所有标准使其成为一个困难的多标准决策 (MCDM) 问题。在这种情况下，他们会考虑了解供应商及其需求的决策者。本文提出了评级，一种基于最佳评分的多标准评估方法。为了满足决策过程的要求，该方法采用基于评级的最优点排序（RBOP）。久经考验的 MCDM 方法可以通过首先根据人类的真实行为方式对决策过程进行建模，始终找到让 DM 满意的选项。此外，他们还为 MCDM 创建了一种基于人类行为的新主观评分机制；他们称之为赢-输-平局（WLD）方法。他们将自己的方法应用于基于伊朗奶酪公司实际运营的案例研究，以便为伊朗的一家大卖场找到最佳的奶酪供应商。 WLD 方法对 RBOP 策略的结果有影响，这与其他 MCDM 方法有所不同。 WLD 方法增加了整个选择过程的范围和最佳区域。