Multicriteria decision making (MCDM) methods have been utilised to solve discrete problems in broad domains. Existing MCDM methods have been developed on the basis of two main contexts, namely, human and mathematical approaches. Each approach faces different challenges, such as inconsistency, time consumption in a pairwise comparison, unnatural comparison, vagueness, normalisation, distance measurement and the issue of criteria weighting in mathematical approach. To solve these challenges, this work presents fuzzy decision by opinion score method (FDOSM), which is a novel MCDM method under fuzzy environment. FDOSM consists of three stages, namely, data input, data transformation and data processing units. Two decision-making platforms, namely, single and group decision-making contexts, are performed on FDOSM. Two case studies (i.e. communication and sport) with multicriteria decision problems are applied to illustrate the significance of FDOSM. The behaviour of FDOSM works on the idea of ideal solutions and allows experts to select the best value and compare the best and other values under the same criterion. Subsequently, mathematical operations are performed to reach a final rank and select the best alternative from a set of available alternatives. In conclusion, FDOSM is debated on and compared with different MCDM methods from ranking and weighting perspectives. Results of FDOSM are more logical than those of other existing MCDM methods.

多准则决策（MCDM）方法已用于解决广泛领域中的离散问题。现有的MCDM方法是在两种主要情况下开发出来的，即人为方法和数学方法。每种方法都面临着不同的挑战，例如不一致，成对比较中的时间消耗，不自然的比较，模糊性，标准化，距离测量以及数学方法中的标准权重问题。为了解决这些挑战，本文提出了一种基于意见评分法的模糊决策方法，该方法是一种模糊环境下的新型MCDM方法。FDOSM由三个阶段组成，即数据输入，数据转换和数据处理单元。在FDOSM上执行两个决策平台，即单决策和组决策上下文。两个案例研究（即 通信和体育）与多准则决策问题，以说明FDOSM的重要性。FDOSM的行为基于理想解决方案的思想，并允许专家选择最佳值并在相同条件下比较最佳值和其他值。随后，执行数学运算以达到最终排名，并从一组可用的替代方案中选择最佳替代方案。总之，从排名和权重的角度对FDOSM进行了辩论并与不同的MCDM方法进行了比较。与其他现有的MCDM方法相比，FDOSM的结果更具逻辑性。FDOSM的行为基于理想解决方案的思想，并允许专家选择最佳值并在相同条件下比较最佳值和其他值。随后，执行数学运算以达到最终排名，并从一组可用的替代方案中选择最佳替代方案。总之，从等级和权重的角度对FDOSM进行了辩论并与不同的MCDM方法进行了比较。与其他现有的MCDM方法相比，FDOSM的结果更具逻辑性。FDOSM的行为基于理想解决方案的思想，并允许专家选择最佳值并在相同条件下比较最佳值和其他值。随后，执行数学运算以达到最终排名，并从一组可用的替代方案中选择最佳替代方案。总之，从排名和权重的角度对FDOSM进行了辩论并与不同的MCDM方法进行了比较。与其他现有的MCDM方法相比，FDOSM的结果更具逻辑性。