Bidirectional Selection Study for Supply and Demand of Cloud Manufacturing Based on Improved Gale-Shapley Algorithm
In view of the problem that the preference of the demand-side is the centre of the traditional cloud manufacturing trading mechanism,and the lack of consideration of the demand preference of the re-source supply-side,a bidirectional selection mechanism for cloud manufacturing based on improved Gale-Shapley algorithm is proposed.This mechanism converts the different evaluation data types given by the supply and demand sides into connection numbers,and integrates the data integration operator to get the comprehensive satisfaction ranking between the two sides.Then,the demand-side makes a transaction appli-cation according to the sorting result and reaches a temporary transaction status with the provider.After multi-round of matching,the satisfactory transaction partner was finally found according to the demand preference of both sides.The effectiveness of the mechanism is verified through experiments,and the satis-faction evaluation of the two sides on the transaction object under the two trading mechanisms is compared.The results show that the improved trading mechanism can largely improve the satisfaction of the supply-side on the transaction object under the premise of satisfying the demand preference of the demand side.