Technology is gradually becoming inseparable from fashion. Ubiquitous computing is incorporated into current lifestyles through the integration of communication networks, communities, and fashionable new tech lifestyle options. This study recruited 50 college students and administrated questionnaires related to five of the most popular smartphones on the market. We applied rough sets theory and classification analysis to the obtained data to analyze consumer needs regarding smartphones. By defining and categorizing related problems, we were able to establish a decision context suitable to the development of smartphones. Our results demonstrate that consumers with strong purchase intention are more demanding with regard to performance, size, communication, operating system, aesthetics, and technological innovation. Consumers with medium purchase intention are less concerned with size and an interactive interface. Finally, consumers with zero purchase intention are most concerned with performance, an interactive interface, and aesthetics. This study provides a scientific prediction model for the developers of smartphones and other fashion technology products.