Fast fuzzy reasoning and optimization using stacked-like-based ship concept scheme

Abstract：Objectives For the design of the conceptual scheme of ship types, it is often difficult to handle the coupling relationship among the design parameters of ship types. Traditionally, the design of conceptual schemes for different types and requirements of ship types usually relies on the domain knowledge and engineering experience of ship experts, which leads to a long cycle and high cost for the design of conceptual schemes. Therefore, this study proposes a fuzzy reasoning strategy for the ship design scheme based on a stacked-like structure to quickly generate the initial solution of the conceptual scheme. Methods This strategy obtains the performance parameter values of the ship type that meet the user's requirements through fuzzy reasoning of the user's requirements, and matches them with the design scheme library of the master ship to obtain the conceptual scheme of the ship type that meets the user's requirements. Finally, a clustering algorithm for the optimized fusion performance parameter library and the master ship design scheme library is designed to enhance the rationality of the ship concept scheme. Results The numerical examples show that both the performance parameters of the ship type generated by reasoning and the corresponding conceptual schemes can express the real needs of users. Conclusions This study optimizes the performance parameter inference and reasoning scheme rationality within the fuzzy inference system, enhancing the accuracy and reasonableness of the fuzzy inference system in the design of the conceptual scheme of ship types. It provides a novel approach for the application of fuzzy systems in the design of the conceptual scheme of ship types.