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Multiattribute Fuzzy Decision Evaluation Approach and Its Application in Enterprise Competitiveness Evaluation

机译:多特点模糊决策评估方法及其在企业竞争力评估中的应用

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Multiattribute decision-making approach is one of the key complex system evaluation technologies which has attracted high attention of academic research studies. This paper establishes a novel multiattribute decision evaluation approach. First, we propose a high-dimensional data attribute reduction model based on partial correlation analysis and factor analysis methods. Second, based on the attribute weights calculated by multiple weighting methods, the corresponding multiple evaluation score vectors of the objects evaluated can be obtained. The final scoring vector can be determined by combining the quadratic combination weighting and the Spearman consistency test. Third, we use fuzzy C-means algorithm to grade evaluated objects. Finally, the established evaluation approach in this paper is verified by using the 107 observations in China. This approach also provides a decision-making example for attribute reduction of high-dimensional data, scoring of complex system evaluation, and clustering analysis when conducting evaluation in other fields.
机译:多元决策方法是具有高度关注学术研究研究的关键复杂系统评估技术之一。本文建立了一种新型多元决策评估方法。首先,我们提出了一种基于部分相关性分析和因子分析方法的高维数据属性还原模型。其次,基于由多重加权方法计算的属性权重,可以获得评估的对象的对应的多个评估分数向量。通过组合二次组合加权和Spearman一致性测试,可以确定最终评分向量。第三,我们使用模糊的C型算法到级别评估对象。最后,通过使用中国的107个观察来验证本文的已建立的评估方法。这种方法还提供了用于在其他领域进行评估时的高维数据,复杂系统评估评分和聚类分析的决策示例。

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