A Two-phase Decision Analysis Method for Two-sided Matching of Technological Knowledge Supply and Demand

A two-phase decision analysis approach is proposed to solve the two-sided matching problem between technological knowledge supply and demand in knowledge management.Firstly,a matching matrix is constructed to select the waiting matching pairs based on the satisfaction degree of the two-sided bodies.Then,a multi-objective optimal model is constructed to maximize the satisfaction degree of technological knowledge suppliers and technological knowledge demanders.A method based on the function membership considering the sum of weight is used to transform the model,and the best optimization solution can be obtained.Finally,an illustrating analysis is given to show the feasibility and validity of the proposed approach.