The move towards sustainable development and energy efficient solutions in the built environment has led to develop innovative solutions, particularly in the area of indoor environmental comfort in buildings. Phase change materials (PCMs) are a potential approach to target building energy use reduction. PCMs are smart materials that have been commercialized and used in buildings for effective regulation of surface and indoor air temperature fluctuations and peak energy reductions. Appropriate PCM selection is the critical step in PCM system design that determines the full effectiveness and applicability of PCM integrated building applications. Optimal selection of PCMs can be effectively executed with the support of multiple attribute decision making (MADM) approaches. Although, the traditional MADM methods have usually focused on beneficial and non-beneficial attributes, in real-world and practical problems, decision-makers tend to determine the rank of an optimal alternative based on the target values of their attributes. In response to the knowledge gap of an existing practical and functional PCM selection solution, this study proposed a hybrid and novel target-based MADM approach that combines the best-worst method (BWM) with COmbined COmpromise SOlution (CoCoSo) and multi-objective optimization of ratio analysis plus the full multiplicative form (MULTIMOORA) with an interval-valued structure called the IV-T-BWM-CoCoMULTIMOORA approach. A case study is examined to select the optimal PCM for interior building surface applications based on a case-specific construction project in Toronto, Canada. Two separate scenarios are considered, one based on thermophysical specifications and one based on managerial preferences. The connection between both technical and managerial criteria was demonstrated to clearly affect the decision-making process to take into account both thermophysical properties of PCM alternatives in the context of risk factors and design considerations. Nevertheless, the influence of the technical parameters was shown to be dominant in the final selection of the best case scenario.

向建筑环境中的可持续发展和节能解决方案迈进，导致开发出创新的解决方案，尤其是在建筑物的室内环境舒适度方面。相变材料（PCM）是降低建筑能耗的一种潜在方法。PCM是已经被商业化并用于建筑物中的智能材料，用于有效调节地面和室内空气温度的波动以及降低峰值能耗。适当的PCM选择是PCM系统设计中的关键步骤，它决定了PCM集成建筑应用程序的全部有效性和适用性。在多属性决策（MADM）方法的支持下，可以有效地执行PCM的最佳选择。虽然，传统的MADM方法通常侧重于有益和非有益的属性，在现实世界和实际问题中，决策者倾向于根据属性的目标值确定最佳替代方案的等级。针对现有实用和功能性PCM选择解决方案的知识空白，本研究提出了一种混合，新颖的基于目标的MADM方法，该方法结合了最差方法（BWM）与COmbined COmpromise解决方案（CoCoSo）和多目标优化比率分析以及带有间隔值结构的完全乘法形式（MULTIMOORA），称为IV-T-BWM-CoCoMULTIMOORA方法。根据加拿大多伦多的一个特定案例建筑项目，研究了一个案例研究，以选择用于室内建筑表面应用的最佳PCM。考虑了两种不同的方案，一种基于热物理规范，另一种基于管理人员的偏好。事实证明，在风险因素和设计注意事项中，考虑到PCM替代品的热物理特性，技术标准和管理标准之间的联系会明显影响决策过程。然而，在最佳情况的最终选择中，显示出技术参数的影响是主要的。事实证明，在风险因素和设计注意事项中，考虑到PCM替代品的热物理特性，技术标准和管理标准之间的联系会明显影响决策过程。然而，在最佳情况的最终选择中，显示出技术参数的影响是主要的。事实证明，在风险因素和设计注意事项中，考虑到PCM替代品的热物理特性，技术标准和管理标准之间的联系会明显影响决策过程。然而，在最佳情况的最终选择中，显示出技术参数的影响是主要的。