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中国管理科学 ›› 2023, Vol. 31 ›› Issue (3): 251-258.doi: 10.16381/j.cnki.issn1003-207x.2020.2224

• 论文 • 上一篇    

考虑决策者偏好的均衡接近度灰关联改进TOPSIS动态评价方法及其应用研究

徐林明1, 李美娟2, 卢锦呈2   

  1. 1.福建工程学院管理学院,福建 福州350118;2.福州大学经济与管理学院,福建 福州350108
  • 收稿日期:2020-11-23 修回日期:2021-04-22 发布日期:2023-04-03
  • 通讯作者: 李美娟(1979-),女(汉族),福建古田人,福州大学经济与管理学院,教授,博士生导师,博士,研究方向:评价方法及其应用,Email:758300@qq.com. E-mail:758300@qq.com
  • 基金资助:
    国家社会科学规划项目(22BGL044)

Dynamic Evaluation Method Based on Grey Correlational Analysis by the Method of Balance and Approach and Improved TOPSIS Considering the Preference of the Decision Maker

XU Lin-ming1, LI Mei-juan2, LU Jin-cheng2   

  1. 1. School of Management, Fujian University of Technology, Fuzhou 350118, China;2. School of Economics & Management, Fuzhou University, Fuzhou 350108, China
  • Received:2020-11-23 Revised:2021-04-22 Published:2023-04-03
  • Contact: 李美娟 E-mail:758300@qq.com

摘要: 为了比较多个待评价对象在某一时间段内各个时刻和总体优劣水平,需要进行动态评价。针对TOPSIS和灰色关联度法优缺点,加入时间维度,提出考虑决策者偏好的均衡接近度灰关联改进TOPSIS动态评价方法,该方法同时反映了待评价对象与理想方案的位置关系以及数据曲线的相似程度,可以避免局部点关联倾向。可以同时兼顾存量和增量,得到各时刻及该时间段各待评价对象总体评价结果。根据决策者对位置和形状的偏好程度以及存量和增量偏好程度不同,对相应参数取不同值。将该方法应用于2013-2017年期间我国东部地区各省市高质量发展评价以验证本文所提方法的有效性。

关键词: 灰色关联度;均衡接近度;动态评价方法;偏好;高质量发展

Abstract: In order to compare the various moments and overall pros and cons of multiple evaluated objects in a certain period of time, dynamic evaluation is required. Aiming at the advantages and disadvantages of TOPSIS and gray correlation method, the time dimension is taken into account, and then a dynamic evaluation method based on grey correlational analysis by the method of balance and approach and improved TOPSIS considering the preference of the decision maker is proposed. This method is able to reflect the positional relationship and curve relationship between ideal solution and alternatives simultaneously, and avoid the problem of local point association tendency. Moreover, both inventory and increment can be taken into consider at the same time, and the overall evaluation result of each object to be evaluated at each moment and time period can be obtained. According to the preference of decision maker to positional relationship and curve relationship, different parameter can be determined. Finally, an empirical analysis of high-quality economic development is used to verify the effectiveness and advantages of the proposed method.

Key words: grey relational degree; degree of balance and approach; dynamic evaluation method; preference; high-quality development

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