犹豫模糊语言妥协解法在卓越绩效评价中的应用
发布时间：2018-08-04 17:25
【摘要】：源于美国波多里奇奖评价标准的卓越绩效模式被广泛运用于企业绩效评价及政府质量奖评审中,其不但是一种管理模式,而且提供一种评价方法。近年来,关于卓越绩效模式的研究聚焦于卓越绩效评价指标间的关系以及评价指标体系的构建和应用推广方面,很少有关卓越绩效评价方法的研究,目前存在的一些卓越绩效评价方法以及关于卓越绩效评价方法的研究均存在一定的不足。'科学合理的卓越绩效评价方法对于政府质量奖的科学评审,企业正确自我诊断评价具有重要的意义。因此,本文旨在对卓越绩效评价方法进行研究。本文在对卓越绩效模式及卓越绩效评价方法的理论方面进行研究以及对犹豫模糊语言集和妥协解法进行了研究的基础上,将犹豫模糊语言妥协解法这一多属性群决策方法运用于卓越绩效评价中,提出一种基于犹豫模糊语言妥协解法的卓越绩效评价模型。首先,分别提出决策者主观权重与客观权重的确定方法以及主客观权重集结方法,运用主客观综合赋权法确定专家权重;然后,基于模糊蕴含算子构造犹豫模糊语言包含度,进而提出新的犹豫模糊语言相似性测度;接着,针对评价结果为犹豫模糊语言环境下的企业排序问题提出一种改进的妥协解法对目标企业进行排序,最终通过案例分析及对比分析验证所提出方法的合理有效性。
[Abstract]:The excellent performance model derived from the evaluation criteria of the U. S. Baldric award is widely used in enterprise performance evaluation and government quality award evaluation. It is not only a management model, but also provides an evaluation method. In recent years, the research on performance excellence model focuses on the relationship between the performance evaluation indicators and the evaluation index system. There are few studies on the methods of performance excellence evaluation, and there are some shortcomings in the existing methods of performance evaluation and performance evaluation. 'scientific and reasonable performance evaluation method for the scientific evaluation of the government quality award, the correct self diagnosis and evaluation of the enterprise. It is of great significance. Therefore, this paper aims to study the method of performance excellence evaluation. In this paper, on the basis of the study of the theory of excellent performance model and the method of Performance Excellence Evaluation and the study of hesitant fuzzy language set and compromise solution, a multi attribute group decision maker is made by hesitating and compromising language. In the evaluation of performance excellence, an excellent performance evaluation model based on hesitation fuzzy language compromise is proposed. Firstly, the method of determining subjective weight and objective weight of the decision-maker and the method of aggregation of subjective and objective weights are put forward respectively, and expert weights are determined by the subjective and objective comprehensive empowerment method; then, based on the fuzzy implication operator structure, the fuzzy implication operator is used. The degree of hesitation fuzzy language inclusion is made, and then the new hesitation fuzzy language similarity measure is proposed. Then, an improved compromise solution is proposed to sort the target enterprise for the enterprise ranking problem in the uncertain fuzzy language environment. Finally, the rationality and validity of the proposed method is verified by case analysis and comparative analysis.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F272
本文编号：2164584
[Abstract]:The excellent performance model derived from the evaluation criteria of the U. S. Baldric award is widely used in enterprise performance evaluation and government quality award evaluation. It is not only a management model, but also provides an evaluation method. In recent years, the research on performance excellence model focuses on the relationship between the performance evaluation indicators and the evaluation index system. There are few studies on the methods of performance excellence evaluation, and there are some shortcomings in the existing methods of performance evaluation and performance evaluation. 'scientific and reasonable performance evaluation method for the scientific evaluation of the government quality award, the correct self diagnosis and evaluation of the enterprise. It is of great significance. Therefore, this paper aims to study the method of performance excellence evaluation. In this paper, on the basis of the study of the theory of excellent performance model and the method of Performance Excellence Evaluation and the study of hesitant fuzzy language set and compromise solution, a multi attribute group decision maker is made by hesitating and compromising language. In the evaluation of performance excellence, an excellent performance evaluation model based on hesitation fuzzy language compromise is proposed. Firstly, the method of determining subjective weight and objective weight of the decision-maker and the method of aggregation of subjective and objective weights are put forward respectively, and expert weights are determined by the subjective and objective comprehensive empowerment method; then, based on the fuzzy implication operator structure, the fuzzy implication operator is used. The degree of hesitation fuzzy language inclusion is made, and then the new hesitation fuzzy language similarity measure is proposed. Then, an improved compromise solution is proposed to sort the target enterprise for the enterprise ranking problem in the uncertain fuzzy language environment. Finally, the rationality and validity of the proposed method is verified by case analysis and comparative analysis.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F272
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