Evaluating Prototype Design Criteria for Human-Computer Interface Using Intuitionistic Fuzzy Z-Numbers Based Best-Worst Method

The prototype design of the human-computer interface (HCI) directly affects the subsequent modification costs and user experience. Design criteria should be evaluated during the prototype design phase to improve user experience and enhance the availability of HCI. To address the uncertainty and complexity of human behavior in this process, we propose an improved best-worst method based on intuitionistic Z-numbers (IZ-BWM). This method uses intuitionistic fuzzy Z-number theory extend the fuzzy BWM method, ensuring the reliability of decision-making under the intuitionistic fuzzy environment. Furthermore, we verify the advantages of IZ-BWM through a prototype design case of a ship navigation system HCI. Finally, we compared the proposed method with intuitionistic fuzzy BWM and analyzed the impact of decision reliability on the results.