For solving grade analysis problems in the field of management decisions， an ordered clustering method for semantic interpretability was proposed. Firstly， based on obtaining the dominance degrees of the samples， the fuzzy description and K-modes clustering method were combined to establish an ordered clustering method of Chinese seafarers’ vocational happiness indexes. Secondly， the corresponding semantic interpretation was assigned to the ordered clustering results under the framework of Axiomatic Fuzzy Set （AFS）； thereby， forming a decision-making aid method for transforming the quantitative information into the qualitative description. Finally， taking the 9 175 valid questionnaires of Chinese seafarers’ vocational happiness indexes as the research samples， the constructed ordered clustering method was applied to obtain the grading results of the seafarers’ vocational happiness indexes as well as their semantic interpretation，and the factors influencing seafarers’ vocational happiness indexes were analyzed. The proposed method can produce ordered clustering results that satisfy user-specified constraints， and the results are interpretable， understandable， and have good value in assistant decision-making.