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A quantitative evaluating method of the effectiveness of hi-tech industrial cluster policies based on the fuzzy QFD

Author(s): Xin Tong, Liying Yu

Based on fuzzy Quality Function Deployment (QFD), an evaluating method of the effectiveness of hi-tech industry cluster policies is proposed in this paper. Firstly, the evaluating system of the effectiveness is constructed according to the evaluation criteria and indexes. The evaluating base of hi-tech industry cluster policies is based on the linguistic variables and triangular fuzzy numbers (TFNs). Secondly, the expert authority degree is obtained by the expert’s judgment and expert’s familiarity of the cluster policies. Then by introducing expert authority degree with fuzzy expected value operator, the fuzzy weighted average method is proposed to determine and rank the weights of evaluation indexes of cluster policies. Finally, the weights of evaluation indexes are utilized to calculate the comprehensive evaluation value. The empirical study of Shanghai integrate circuit (IC) industry cluster policies is given to demonstrate the feasibility and practicability of the proposed method.

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