中国管理科学 ›› 2023, Vol. 31 ›› Issue (3): 251-258.doi: 10.16381/j.cnki.issn1003-207x.2020.2224cstr: 32146.14.j.cnki.issn1003-207x.2020.2224
徐林明1, 李美娟2, 卢锦呈2
收稿日期:2020-11-23
修回日期:2021-04-22
出版日期:2023-03-20
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:XU Lin-ming1, LI Mei-juan2, LU Jin-cheng2
Received:2020-11-23
Revised:2021-04-22
Online:2023-03-20
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。
中图分类号:
徐林明,李美娟,卢锦呈. 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[J]. 中国管理科学, 2023, 31(3): 251-258.
XU Lin-ming,LI Mei-juan,LU Jin-cheng. 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[J]. Chinese Journal of Management Science, 2023, 31(3): 251-258.
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