In order to meet the promotion and application of the domain-specific innovation methods， facing the puzzle of enterprises’ optimization of numerous innovation methods， a decision-making model for optimization of the domain-specific innovation methods is proposed by analyzing and evaluating the applicability of different methods in practical application situations. Taking the field of rail transit equipment as an example， through the analysis of the practical application situation of enterprises， a five-dimensional application situation space including product type， innovation object， innovation chain link， innovation category， and innovation process is established. According to the spatial dimension and its hierarchical relationship， the evaluation index system of application situation applicability is constructed. At the same time， in order to reduce the subjective influence of man-made evaluation， a combination weighting method combining FAHP （Fuzzy Analytic Hierarchy Process） and EM （ Entropy Method ） is proposed. Combining with TOPSIS （Technique for Order Preference by Similarity to Ideal Solution）， the FE-T optimization decision model of various field characteristic innovation methods is established. The total applicability score of each method is solved by the model， and the multi-method optimization sequence is determined based on rule sorting. The decision model is used to guide the selection of a method in the bogie innovation project of an enterprise， and the optimization sequence of domain characteristic innovation methods suitable for the application situation of the project is obtained， which provides a reference for the optimization of domain characteristic innovation methods.