Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.

Abstract
1. Introduction
2 Literature Review
    2.1 Game Theory GT
    2.2 Support Vector Machine Regression with Particle Swarm Optimization (PSO-SVR)
3 Proposed research methodology
    3.1 Spherical fuzzy hierarchy analysis process
    3.2 Entropy weighting method for objective weightingsolution
    3.3 Game Theory (GT)
    3.4 Support Vector Machine SVR
4 Case Studies
    4.1 Starting preliminary preparation of experiment
    4.2 Filtering users' key emotional requirements
    4.3 Establishing an Intelligent Evaluation System between Critical Emotional Needs and Critical Design Features through PSO-SVR
5. Example of flybridge yacht design
6. Conclusion
Reference

• Chengmeng Sun(Naval Architecture and Port Engineering College, ShandongJiaotong University, Weihai 264209,China) Corresponding author
• Yingying Deng(Naval Architecture and Port Engineering College, ShandongJiaotong University, Weihai 264209,China)