Emotional design of cockpit central control using interval-valued intuitionistic fuzzy DEMATEL and CNN-SE-LSTM

Accurately identifying user needs is critical for producing emotional design. However, traditional user evaluation often suffers from randomness and subjective bias, which often lead to the loss of key information. To address this problem, this study proposes an approach that integrates interval-valued intuitionistic fuzzy sets (IVIFS) with the DEMATEL method to explore product form element relationships and identify key design elements, and using a CNN-SE-LSTM model to determine optimal combination of design solutions. First, users’ emotional responses to products are systematically captured and categorised to reduce the dimensionality of target emotions. To handle uncertainty in expert evaluations and the directional relationships between product form elements, interval-valued intuitionistic fuzzy numbers (IVIFN) are employed, and IVIFS-DEMATEL method is then used to analyse the interaction relationships among smart cockpit form elements to extract core design elements. Second, the CNN-SE-LSTM model is applied to establish a nonlinear relationship between product form parameters and users’ emotional needs, which could construct a predictive model for multidimensional perceptual requirements. Finally, an intelligent design system is developed to optimise product parameters based on consumers’ perceptual needs. A case study of smart cockpit central control design demonstrates system effectiveness, with experimental results highlighting its potential to enhance customer satisfaction.