Analysis of intermediary customer group value based on AHP and fuzzy evaluation

Intermediary customer plays an important role to link business and end customer, but its value evaluation is overlooked by most researchers. The evaluation index system of intermediary customer was established according to its characters of the combing of customer and channel. A fuzzy evaluating model of intermediary customer group value was set up by index set, evaluation set, weight vector determined with analytical hierarchy process(AHP), and evaluation matrix. The index system and the model were applied to analyzing some medical transaction data basing on the platform of Insightful Miner, to provide the decision support for its differentiated marketing.