Abstract

This study introduces the proper classification rate based on both traditional rough set theory and fuzzy set theory to develop the VPRS evaluation model, which is based on information fusion technology. The affiliation function is built, the real-valued characteristics are fuzzified, and the resulting fuzzy affiliation degrees are then used to evaluate the categorization. Finally, the coupling degree and coupling coordination degree under the VPRS model were used to investigate the coupling connection between cities of different sizes and cities with diverse leading industries. When compared to the coupling degree, medium-sized cities have a coupling degree that is 55.58% greater, and non-resource-based cities have a coupling degree that is 5.57 percentage points higher. In terms of coupling coordination degree, large cities have a 28.49% improvement, while non-resource based cities have a coupling degree that is 8.28 percentage points greater than resource based cities. Information fusion technology may therefore be used to study the link between urban innovation effectiveness and high-quality economic development, which can therefore help to increase urban innovation capacity and economic growth.