Evaluation of Product Design Using Grey Statistical Method-Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Integration

A reproducible design evaluation system is developed in this study by integrating the grey statistical method (GSM), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). Eight first-level and 40 second-level indicators were identified, covering product positioning, appearance features, function, materials, process structure, ergonomics, interactive experience, and economic efficiency. Through GSM screening, the indicator set was refined, and AHP weighting results confirmed logical consistency. Product positioning (weight = 0.190), appearance features (0.165), and interactive experience (0.151) were the most influential first-level indicators. At the second level, user-group positioning (global weight = 0.056), pattern and finish design (0.055), market positioning (0.052), door panel material (0.051), and door style design (0.051) were found to be important indicators of innovation. Interactive experience metrics such as operational convenience and labor-saving access highlighted the increasing importance of usability. FCE modeling results provided deterministic scores, reducing subjectivity and enabling reproducible evaluation. Beyond cabinetry, the GSM–AHP–FCE model can be used to evaluate sensor-integrated smart furniture, tactile interfaces, ergonomic layouts, or feedback mechanisms through various tests.