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针对现有模糊评价方法缺乏动态可变性的不足,将可变模糊集理论引入到战略性新兴产业企业信用评价中;同时,考虑到主观赋权法与客观赋权法各有优缺点,采用基于相对熵的组合赋权法确定指标权重,从而构建了基于相对熵和可变模糊集理论的战略性新兴产业企业信用评价模型.模型克服了现有模糊评价方法的不足,较好的兼顾了赋权的主观偏好和客观信息,提高了信用评价结果的可信度、可靠性与稳健性.以20家战略性新兴产业上市公司为样本,实证分析结果说明了模型的可行性和适用性.
In view of the lack of dynamic variability of the existing fuzzy evaluation methods, the variable fuzzy set theory is introduced into the credit evaluation of strategic emerging industrial enterprises. At the same time, considering the advantages and disadvantages of subjective and objective weighting methods, Relative entropy combination weighting method to determine the weight of indicators, and thus build a strategic emerging industries based on the relative entropy and variable fuzzy sets theory credit evaluation model.Models to overcome the shortcomings of the existing fuzzy evaluation method, better taking into account the Fu The subjective preference and the objective information of rights, which improves the credibility, reliability and robustness of the credit evaluation results.Taking the 20 strategic emerging industries listed companies as samples, the empirical analysis shows the feasibility and applicability of the model.