For the evaluation indexes of the quality of cultivation of composite talents of higher vocational business and trade majors constructed, this paper utilizes the entropy weight method and the normal cloud model to calculate the objective weight of each index as well as the hierarchical degree of affiliation, and to analyze the influence of the indexes on the quality of cultivation. After that, we constructed an ordered probit model by combining the index data, and solved the best parameters of the model through the great likelihood estimation function, so as to effectively order the value of each index in improving the quality of the cultivation of complex talents of higher vocational business and trade majors. Calculation found that the second-level indicator with the highest objective weight is talent cultivation conditions (0.3409), and the third-level indicator is faculty (0.3343). 3 second-level indicators and 9 third-level indicators positively affect the quality of complex talent cultivation of higher vocational business and trade majors at the level of 0.001. According to the size of the weight and coefficient, the problems of higher vocational business and trade majors are improved in an orderly manner to provide help for students to become compound talents.
