By studying the issue of evaluating the financial competitiveness of innovation-driven enterprises, the author proposed a new financial competitiveness evaluation method based on interval data mining. First, in order to effectively utilize the evaluation information that is provided by experts, the author suggested that the 95% confidence interval of the expert group’s evaluation information should be used as the interval evaluation data. Hence, the uncertainty of the evaluation process was effectively reduced, and the reliability of the evaluation results was improved. Then, empirical analysis was conducted on the financial competitiveness of an innovation-driven enterprise and its competitors using the interval data as the mining object, and a financial competitiveness evaluation method was given. The financial competitiveness level of this innovation-driven enterprise was analyzed according to the influence factors and overall situations, and suggestions to improve the innovation-driven enterprise’s financial competitiveness were provided in a targeted way. Finally, a discussion was made on how to strengthen the financial competitiveness of the innovation-driven enterprise with respect to five aspects.

中文翻译：

---

基于区间数据挖掘的创新驱动企业财务竞争力评价与研究

通过研究创新驱动企业财务竞争力评价问题，提出了一种基于区间数据挖掘的财务竞争力评价新方法。首先，为了有效利用专家提供的评价信息，笔者建议采用专家组评价信息的95%置信区间作为区间评价数据。从而有效降低了评价过程的不确定性，提高了评价结果的可靠性。然后，以区间数据为挖掘对象，对创新驱动企业及其竞争对手的财务竞争力进行实证分析，给出了财务竞争力评价方法。从影响因素和整体情况分析了该创新驱动企业的财务竞争力水平，有针对性地提出了提高创新驱动企业财务竞争力的建议。最后从五个方面就如何增强创新驱动企业的金融竞争力进行了探讨。