Abstract Aiming at the twosided matching problem between suppliers and demanders in data trading under the perspective of platform is described.To solve the problem, a hybrid multiple attribute decision making method considering the fuzzy linguistic assessment information, interval number assessment information and 0-1assessment information based on twosided matching theory is proposed and the attribute matching satisfaction function is defined.On this basis, to maximize the matching degree of satisfaction of suppliers and demanders, a multiobjective optimization model for the supply and demand matching in data trading is constructed and the model is designed by converting the multiobjective optimization model into a singleobjective linear programming model with the use of algorithm.The results show that by analyzing the demand information given form suppliers and demanders in detail, twoside demand can be met in the maximum extent by the result of twoside matching , and the optimization model is feasible and available.
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