The growing number of web services (WSs) and cloud services, which can meet the users’ functional and non-functional requirements, have inspired researchers to provide more effective approaches for ranking the available services, regarding different QoS factors and selecting the best of them. In this context, several service selection frameworks using the fuzzy multicriteria decision making (MCDM) techniques are introduced in the literature. This paper focuses on such schemes, and firstly provides the required background knowledge about service selection and MCDM methods. Then, it puts forward a taxonomy of the service selection schemes, regarding their utilized fuzzy MCDM methods, and describes how the fuzzy MCDM methods are adapted to handle the fuzziness of the users’ preferences and QoS properties. Furthermore, the main features of these schemes are compared, and their contributions and possible shortcomings are discussed. Finally, the concluding remarks are provided, and directions for future studies are illuminated.

可以满足用户功能和非功能需求的Web服务（WS）和云服务的数量不断增加，这激发了研究人员提供更有效的方法来对可用服务进行排名，涉及不同的QoS因子并从中选择最佳的。在这种情况下，文献中介绍了几种使用模糊多准则决策（MCDM）技术的服务选择框架。本文着重于此类方案，首先提供有关服务选择和MCDM方法的必要背景知识。然后，针对服务选择方案所使用的模糊MCDM方法，提出了一种分类法，并描述了如何将模糊MCDM方法用于处理用户偏好和QoS属性的模糊性。此外，比较了这些方案的主要特征，并讨论了它们的贡献和可能的缺点。最后，提供结论性意见，并阐明未来的研究方向。