For the complex dual-attribute qualitative assessment problem of spacecraft ground equivalence tests, the paper proposes a comprehensive assessment method that integrates interval-type evaluation with prospect theory and the two-dimensional cloud model. Firstly, to reduce the difficulty of determining indicator weights, the paper adopts interval-type evaluation and obtains reasonable interval weights of each indicator under dual attributes by interval analytic hierarchy process (IAHP). Secondly, to reduce the uncertainty of assessment and achieve the transformation of interval weights to value weights, the paper combines the prospect theory to obtain the value weight of each indicator that can maximize the personality preference satisfaction of the decision-maker by maximizing the integrated prospect value. During this period, to avoid the construction of a complex score function, the theoretical gain and loss values of indicator evaluation were obtained directly from the theoretical calculation based on the location of interval evaluation results in relation to interval psychological reference points. Again, to judge the validity of the interval evaluation of indicators, the paper theoretically derives an inverse cloud generator for interval-type samples and then realizes the validity analysis of the interval evaluation of indicators based on the 3-sigma principle of clouds. Then, to solve the problem of dual-attribute assessment of equivalence tests, the paper achieves the effective assessment of spacecraft ground equivalence tests through inter-cloud aggregation and similarity calculation of two-dimensional cloud models. Finally, the application of the method in a specific assessment case verifies the feasibility, validity, and practicality of the method in this paper.