基于主成分分析和模糊综合评价的机场员工绩效评价研究

发布时间：2018-06-15 00:09

本文选题：模糊综合评价 + 主成分分析　；参考：《西安理工大学》2017年硕士论文

【摘要】：在机场工作环境和工作性质复杂多变的背景条件下,针对机场航班保障工作中员工个人绩效评价不合理性的问题,如何给出一个公正客观的机场员工绩效评价模型成为了整个机场信息化系统中的一个新内容。本文深入分析了机场航班保障业务,提出一种新的机场员工绩效评价模型,该模型结合了主成分分析(PCA)和模糊综合评价法(FCE),对传统的模糊综合评价模型做了以下改进工作:(1)针对传统评价模型在评价过程中掺杂过多人为因素的不足,引入了主成分分析法来代替人为主观确定法,依据各个评价指标与每个主成分因子的相关性对评价指标体系进行重组,并根据各个评价指标对主成分因子的贡献度确定各指标权重;(2)针对通用评价指标等级与实际数据不相符的问题,设计了调整策略,该策略主要根据样本数据的均值和方差对原始评价指标的等级划分情况进行调整;(3)为了提高该评价模型的灵活性,结合机场航班保障工作复杂多变的特点,设计了基于可调节权重参数的模糊合成算子。该模型在整个评价过程中均以实际样本数据为依据,只需通过更换样本数据来转换研究问题,便可将该模型适用于其他类似复杂环境中的评价问题,因此,改进后的绩效评价模型具有较好的泛化能力。将改进模型应用于国内某民航机场,以单个评价对象为例,对改进模型的具体应用过程进行了详细介绍。论文最后选取了该机场“特车”部门的部分员工为评价目标,分别对其进行绩效评价,通过将评价结果与机场历史绩效作对比,表明改进评价模型是客观合理的,能够较好地反映机场员工在航班保障中的个人工作表现情况。
[Abstract]:Under the background of complex and changeable working environment and nature of the airport, this paper aims at the irrationality of employee's personal performance evaluation in the airport flight guarantee work. How to give a fair and objective performance evaluation model of airport staff has become a new content in the whole airport information system. In this paper, the airport flight guarantee business is deeply analyzed, and a new performance evaluation model for airport employees is proposed. The model combines the principal component analysis (PCA) and the fuzzy comprehensive evaluation method (FCEA), and improves the traditional fuzzy comprehensive evaluation model as follows: (1) aiming at the deficiency of the traditional evaluation model with too many human factors in the evaluation process, The principal component analysis method is introduced to replace the artificial subjective determination method, and the evaluation index system is reorganized according to the correlation between each evaluation index and each principal component factor. According to the contribution degree of each evaluation index to the principal component factor, the weight of each index is determined. (2) aiming at the problem that the general evaluation index grade does not accord with the actual data, the adjustment strategy is designed. In order to improve the flexibility of the evaluation model, the strategy mainly adjusts the classification of the original evaluation index according to the mean and variance of the sample data. In order to improve the flexibility of the evaluation model, combined with the complex and changeable characteristics of airport flight support, A fuzzy composition operator based on adjustable weight parameters is designed. The model is based on the actual sample data in the whole evaluation process. The model can be applied to the evaluation problems in other similar complex environments only by changing the sample data to transform the research problem. The improved performance evaluation model has better generalization ability. The improved model is applied to a civil aviation airport in China. Taking a single evaluation object as an example, the concrete application process of the improved model is introduced in detail. Finally, the paper selects some employees of the airport "special vehicle" department as the evaluation goal, and evaluates its performance separately. By comparing the evaluation results with the historical performance of the airport, it shows that the improved evaluation model is objective and reasonable. Be able to reflect the performance of airport employees in flight protection.
【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F562.6;F272.92

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