基于离差最大化的组合评价模型对产业技术创新评价的应用研究

摘要

为解决不同评价方法对产业技术创新能力评价结果非一致性的问题,本文分别采用熵值法、集对分析法、灰色关联法以及加权TOPSIS法对高技术产业技术创新能力进行同一权重的单一评价,对满足一致性检验的评价方法建立离差最大化组合评价模型,并证明其有效性,为产业技术创新能力提供了更合理的评价视角.实证研究表明,离差最大化组合评价模型克服了不同评价方法评价结论非一致性问题,充分体现了各评价方法的重要程度,评价结果能够客观反映高技术产业技术创新能力强弱水平.%In order to solve the problem of nonconformity in the evaluation of industrial technology innovation capability by different evaluation methods, this paper uses entropy method, set pair analysis method, gray correlation method and weighted TOPSIS method to evaluate the technology innovation capability of high-tech industry respectively, and the maximizing deviations e-valuation model is established by the method which conforms to the consistency test.It provides a more reasonable evaluation angle for industrial technology innovation capability.Empirical study shows that combination evaluation model overcomes the nonconformi-ty of different evaluation methods results, it fully reflects the importance of each evaluation method, and the evaluation results ob-jectively reflect the level of technological innovation capability of high-tech industry.