This study is conducted to measure the level of industrial green development and judge the differences in industrial green innovation ability among provinces. The study constructs a multi-index evaluation system integrating comprehensive attribute values for industrial green development from the perspective of green input factors and green output benefits and proposes an interval multi-attribute measurement method based on the hybrid multi-dimensional cloud model. This method creatively uses the mutual transformation of the interval weight and cloud weight to solve the problem of different weights of multiple indexes. After that, the parent cloud closeness is employed to calculate the industrial green development level, and the cloud projection is applied to measure industrial green innovation ability. Finally, industrial panel data between provinces are used for verification. The results indicate that compared with the results of the general multi-index comprehensive evaluation method, the empirical results of this method are more consistent with the actual situation. This means that the method can not only evaluate and analyze the overall situation of the industrial green development level but also accurately calculate the contribution of each index to judge whether a province or region has the industrial green innovation ability. Therefore, this study can provide substantive suggestions and theoretical decision-making basis for regions to adjust the measurement indexes for the industrial green development level and formulate industrial green development plans.