The effectiveness and efficiency of vacuum cleaners largely depend on the performance of their motors. As the core component, a motor's power, durability, and energy consumption directly impact the overall functionality of the vacuum cleaner. Selecting the right motor is thus crucial to meeting consumer expectations and maintaining a competitive edge in the market. Ranking vacuum cleaner motor alternatives is a complicated multiple criteria decision making (MCDM) problem since it involves various potentially competing qualitative and quantitative criteria. In this study, a MCDM approach is presented for the assessment of vacuum cleaner motors for a company of electric motors in Turkey. Here, first fuzzy Analytic Hierarchy Process (F-AHP) is utilized to determine criteria weights and then, fuzzy Preference Ranking Organization Method for Enriching Evaluations II (F-PROMETHEE II) is applied to determine the ranking of vacuum cleaner motor alternatives, using these weights. 12 maximization criteria are determined with the help of 3 managers/coordinators of the electric motors company acting as decision makers (DMs) in the process to assess 4 vacuum cleaner motor alternatives.