A Method for Two-sided Matching Decision Making in Knowledge Service Based on Linguistic Correlated Information
Fan Zhi-ping · Systems Engineering · 2012
A decision-making method is proposed to solve the two-sided matching problem considering linguistic correlated information in knowledge service.To solve this problem,it gives the character and formal description of knowledge demand and supply matching problem considering linguistic correlated index.Then,considering the character of correlated index focused on linguistic satisfaction degree given by the matching bodies.The linguistic Choquet integral is defined and the matching satisfaction degree of the matching bodies can be integrated and calculated by using it.A multi-objective optimization model is constructed based on the purpose of matching.By solving this model,the reasonable matching results of knowledge service can be obtained.Finally,an example is given to illustrate the practicality and effectiveness of the proposed approach.