Research on comprehensive assessment method of yacht design based on KANO/AHP/TOPSIS

摘要

This study addresses the growing demand for personalized luxury yacht design by proposing an integrated evaluation framework combining the KANO model, Analytic Hierarchy Process (AHP), TOPSIS, and AI-based image generation. As consumer expectations in high-end marine vessels become increasingly sophisticated, there is a need for systematic methods to translate subjective preferences into optimal design solutions. The research first identified and categorized fourteen critical user requirements through the KANO model, then determined their relative importance weights using AHP. These weights were subsequently applied in a TOPSIS analysis to objectively evaluate three competing yacht design concepts. To enhance the design process, Stable Diffusion AI was employed to generate visual renderings based on textual descriptions of user needs, enabling rapid conceptual prototyping and emotional validation. Results demonstrated that this hybrid approach successfully quantified subjective preferences, with the top-ranked design achieving a 0.82 closeness coefficient in TOPSIS analysis while showing 23% higher user satisfaction in aesthetic appeal compared to conventional methods. The framework provides yacht designers with a novel tool that combines analytical decision-making with AI-enhanced visualization, significantly improving both the efficiency and user-centricity of the design process for luxury marine vessels.