Abstract: Objectives For the challenge of modeling the fuzzy user demands in existing ship conceptual design (SCD) techniques, an efficient generation system of SCD based on a fuzzy inference system is proposed to intelligently construct the values of ship performance parameters that align with user demands and generate corresponding values of ship design parameters as SCD. Methods Firstly, the data collected from existing parent ships are organized as prior knowledge, which is used to determine the hyperparameters in the modeling process of user demands, and match the values from ship performance parameters to ship design parameters in the subsequent process. Secondly, the user demands are quantitatively mapped to a fuzzy space using fuzzy set theory, and the organized