Cities around the world have reopened from the lockdown caused by the COVID-19 pandemic, and more and more people are planning regional travel. Therefore, it is a practical problem to recommend suitable hotels to travelers amid the COVID-19 pandemic. However, it is also a challenging task since the criteria that affect hotel selection amid the COVID-19 pandemic may be different from those usually considered. From this perspective, a novel fuzzy analytic hierarchy process (FAHP)-fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) approach is proposed in this study for hotel recommendation. The proposed methodology not only considers the criteria affecting hotel selection amid the COVID-19 pandemic, but also establishes a systematic mechanism to simultaneously improve the accuracy and efficiency of the recommendation process. The novel FAHP-fuzzy TOPSIS approach has been successfully applied to recommend suitable hotels to fifteen travelers for regional trips amid the COVID-19 pandemic.

世界各地的城市已从 COVID-19 大流行造成的封锁中重新开放，越来越多的人正在计划区域旅行。因此，在COVID-19大流行期间向旅行者推荐合适的酒店是一个现实问题。然而，这也是一项具有挑战性的任务，因为在 COVID-19 大流行期间影响酒店选择的标准可能与通常考虑的标准不同。从这个角度来看，本研究提出了一种新颖的模糊层次分析法（FAHP）——通过与理想解相似的顺序偏好的模糊技术（模糊TOPSIS）方法来进行酒店推荐。所提出的方法不仅考虑了在COVID-19大流行期间影响酒店选择的标准，而且还建立了一个系统机制来同时提高推荐过程的准确性和效率。新颖的 FAHP 模糊 TOPSIS 方法已成功应用于在 COVID-19 大流行期间向 15 名进行区域旅行的旅行者推荐合适的酒店。