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A selection method of the evaluation indicator system of the self-oriented innovation capability of enterprises based on 2-dimension linguistic information

机译:基于二维语言信息的企业自主创新能力评价指标体系的选择方法

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The traditional way of constructing evaluation indicator system often relies on the subjective judgment of the experts, which is often difficult to express the quality of information provided by experts, and hardly to aggregate the opinions of multiple experts. In this paper, a selection method of the self-oriented innovation capability of enterprises based on 2-dimension linguistic information was proposed. Firstly, experts give all the possible indicators of self-oriented innovation capability respectively, which compose of the candidate indicators set. Secondly, each indicator in the set is evaluated by experts with 2-dimensional linguistic information, which adds one dimensional linguistic information to express the quality of the original assessment information. Thirdly, after the 2-dimensional linguistic information is transformed to the evidence bodies, the evaluation information of multi-experts for each indicator is integrated to the comprehensive assessment by evidential reasoning algorithm, and then the indicators in the candidate indicators set are selected to construct the evaluation indicator system of enterprises based on the evaluation result. Finally, a case of the selection of the self-oriented innovation capability of enterprises in Anhui Province is studied to illustrate the detail implement process and check the feasible and effective of the approach.
机译:传统的评价指标体系构建方法往往依赖于专家的主观判断,往往难以表达专家提供的信息质量,也很难汇总多位专家的意见。提出了一种基于二维语言信息的企业自主创新能力选择方法。首先,专家分别给出了所有可能的自我导向创新能力指标,这些指标由候选指标集组成。其次,集合中的每个指标都由专家使用二维语言信息进行评估,该信息会添加一维语言信息来表达原始评估信息的质量。第三,将二维语言信息转换为证据主体后,通过证据推理算法将各个指标的多专家评价信息整合到综合评价中,然后从候选指标集中选择指标进行构建。基于评估结果的企业评估指标体系。最后,以安徽省企业自主创新能力选择为例,详细说明了实施过程,验证了该方法的可行性和有效性。

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