A multi-attribute decision-making method based on case-based reasoning and grey correlation analysis in heterogeneous information environment

被引：0
作者：
Zhao, Jing-Hua [1 ]
Shi, Jia [1 ]
Zhang, Yan [1 ]
Lin, Jie [2 ]
机构：
[1] Business School, University of Shanghai for Science and Technology, Shanghai
[2] School of Economics and Management, Tongji University, Shanghai
来源：
Kongzhi yu Juece/Control and Decision | 2024年 / 39卷 / 10期
关键词：
case retrieval; case-based reasoning; generalized Shapley values; grey relational analysis; heterogeneous information; multi-attribute decision-making;
D O I：
10.13195/j.kzyjc.2023.0956
中图分类号：
学科分类号：
摘要：
Considering the ambiguity of decision information and the interaction of attributes, a heterogeneous multi-attribute decision-making method based on case-based reasoning and grey correlation analysis is proposed to solve the issue of the inability to accurately push similar cases in case retrieval with heterogeneous information and improve the accuracy and efficiency of case retrieval. Firstly, the generalized Shapley values under different attributes are calculated based on fuzzy measures to reflect the correlation between attributes and their weight information. Secondly, based on the idea of case-based reasoning, the grey relational model is used to calculate the similarity between the target case and the historical case. In addition, by combining the generalized Shapley value with grey correlation, the grey correlation degree between the target case and historical case is obtained, thereby obtaining processing measures that can be referenced by the current target case. Finally, the feasibility and practicality of the proposed method are verified through the case retrieval problem of judicial enforcement cases, which can improve the heterogeneous multi-attribute decision-making theoretical system, broadening new paths to solve difficulties in the judicial field. © 2024 Northeast University. All rights reserved.
引用
收藏
页码：3479 / 3487
页数：8
相关论文
共 21 条
  • [1] Wang S Z., Intelligence of similar cases retrieval in the perspective of normative guidance, Journal of Law Application, 9, pp. 150-159, (2021)
  • [2] Sun H B., Is similar case research useful to realize the idea of “like cases be treated alike”?, Tsinghua University Law Journal, 15, 1, pp. 79-97, (2021)
  • [3] Cao F X, Sun Y Y, Wang Z Z, Et al., Similar case matching model for lending cases, Computer Engineering, 50, 1, pp. 306-312, (2024)
  • [4] Zhang J H, Ye J W, Liu K., Research on explicit case matching of tacit knowledge oriented to interval aspects, Mathematics in Practice and Theory, 50, 5, pp. 49-59, (2020)
  • [5] Wu S S, Lin J, Huang D H, Et al., Similar cases extraction and amount estimation of person subjected to execution concealing property based on similarity of heterogeneous information, Chinese Journal of Management Science, 31, 6, pp. 221-230, (2023)
  • [6] Zhao J H, Zhang Y, Zhang W, Et al., Evaluation decision method of person subjected to execution with heterogeneous information, Control and Decision, 38, 12, pp. 3562-3570, (2023)
  • [7] Dong P Y, Wang H W, Chen Y., Combining TOPSIS and GRA for emitter threat evaluation with interval number, Control and Decision, 36, 6, pp. 1516-1522, (2021)
  • [8] Ding C X, Yan A J, Wang D H., Intelligent optimal setting method of secondary air flow in municipal solid waste incineration process, Control and Decision, 39, 1, pp. 49-58, (2024)
  • [9] Zhao Z, Chen J H, Yao J M, Et al., An improved spatial case-based reasoning considering multiple spatial drivers of geographic events and its application in landslide susceptibility mapping, CATENA, 223, (2023)
  • [10] Yao X, Guo H X, Gu M Y, Et al., Intelligent generation of similar case of landslide disaster emergency based on case-based reasoning, Systems Engineering — Theory & Practice, 41, 6, pp. 1570-1584, (2021)
123