Dynamic consolidation of virtual machines (VMs) is an effective way to improve resource utilization and power efficiency in cloud computing. For example, determining when it is best to relocate VMs from an overloaded host is one aspect of dynamic VM consolidation that directly influences the resource utilization and Quality of Service (QoS) offered by the system. This paper presents a new proposal with an Interval-valued Fuzzy Logic approach to address the uncertainties and inaccuracies in determining resource usage, aiming at energy savings with minimal performance degradation. The results obtained in a simulated cloud computing environment showed improvements for energy efficiency of 2.3% with Inter Quartile Range (IQR). With regard to Service Level Agreement (SLA), results of 10.1% were achieved with Threshold Policy (THR), and finally, IQR obtained 7.9% better results considering the reduction in the number of VM migrations.

虚拟机（VM）的动态整合是提高云计算资源利用率和电源效率的有效方法。例如，确定何时最好从过载主机重新定位 VM 是动态 VM 整合的一个方面，它直接影响系统提供的资源利用率和服务质量 (QoS)。本文提出了一种采用区间值模糊逻辑方法的新建议，以解决确定资源使用时的不确定性和不准确性，旨在以最小的性能退化实现节能。在模拟云计算环境中获得的结果显示，四分位间距 (IQR) 的能源效率提高了 2.3%。在服务水平协议 (SLA) 方面，使用阈值策略 (THR) 实现了 10.1% 的结果，最后，