语言模糊环境下三支决策的研究现状与展望  

The Current State and Future Prospects of Three-Way Decisions in Generalized Linguistic Fuzzy Environments

作　　者：叶辉文 张超[1,2] 丁娟娟 林铭炜 YE Huiwen;ZHANG Chao;DING Juanjuan;LIN Mingwei(School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Shanxi University,Taiyuan 030006,China;College of Computer and Cyber Security,Fujian Normal University,Fuzhou 350117,China)

机构地区：[1]山西大学计算机与信息技术学院,山西太原030006 [2]山西大学计算智能与中文信息处理教育部重点实验室,山西太原030006 [3]福建师范大学计算机与网络空间安全学院,福建福州350117

出　　处：《福建师范大学学报(自然科学版)》2025年第2期24-34,共11页Journal of Fujian Normal University:Natural Science Edition

基　　金：国家自然科学基金项目(62272284、62072294、61972238);山西省科技创新青年人才团队项目(202204051001015);福建省自然科学基金项目(2022J06020);山西省研究生教育创新项目(2023KY031、2021Y147);山西省高等学校优秀成果培育项目(2019SK036);中央引导地方项目(YDZJSX2024D015);福建省“雏鹰计划”青年拔尖人才计划(F21E0011202B01)。

摘　　要：相较于传统三支决策,广义语言模糊环境下的三支决策在处理复杂问题不确定性和模糊性方面表现优异。针对广义语言模糊环境下的三支决策进行系统性综述。首先,总结三支决策和语言模糊集的基本理论模型;其次,探讨最新的发展趋势和应用;然后,通过文献分析,对现有的研究方法进行梳理,尽管这些方法在智能决策领域取得显著成果,但仍存在一些亟待解决的问题,为进一步研究和优化提供一定空间;最后,提出对未来研究的展望,并对广义语言模糊环境下三支决策研究进行总结。In contrast to conventional three-way decisions,its application in a generalized linguistic fuzzy environment demonstrates superior ability to address complex problems involving uncertainty and vagueness.This paper provides a comprehensive review of three-way decisions in such an environment,encompassing an overview of foundational theoretical models associated with three-way decisions and linguistic fuzzy sets.Additionally,recent trends and applications in the field are examined.Moreover,through bibliometric analysis,current research methodologies are critically assessed.Despite notable achievements in decision-making,certain limitations remain,highlighting the need for future research and optimization.In conclusion,future prospects are outlined,and a summary of three-way decisions in a generalized linguistic fuzzy environment is provided.

关 键 词：三支决策 粒计算 语言模糊集 文献计量分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP39[自动化与计算机技术—控制科学与工程]