郑州大学学报（理学版）2026，Vol.58Issue(3)：68-76,9.DOI:10.13705/j.issn.1671-6841.2024168
基于几乎随机占优的语言值概念知识获取方法
An Approach to Knowledge Acquisition Based on Almost Stochastic Dominance in Linguistic-valued Concept
摘要
Abstract
In response to the issue of subjective preferences in linguistic-valued formal concept analysis(FCA),a prospect linguistic-valued concept lattice was proposed,which expressed risk preference infor-mation based on differences in reference points.Firstly,by combining fuzzy linguistic values with pros-pect theory,a method for constructing the prospect linguistic-valued concept lattice was introduced,mer-ging risk aversion and risk preference attitudes.Secondly,the sensitivity of risk information was explored using almost random dominance to determine dominance relationships and valuable concept knowledge among prospect linguistic-valued concepts.Finally,an example of the digital transformation of interna-tional Chinese education was introduced,and the effectiveness and feasibility of the proposed method were verified through a series of experiments and comparative analysis.关键词
语言值概念格/前景理论/几乎随机占优/形式概念分析Key words
linguistic-valued concept lattice/prospect theory/almost stochastic dominance/FCA分类
信息技术与安全科学引用本文复制引用
辛现伟,袁世婷,薛占熬,宋继华..基于几乎随机占优的语言值概念知识获取方法[J].郑州大学学报（理学版）,2026,58(3):68-76,9.基金项目
国家社会科学基金社科学术社团主题学术活动项目(23STA031) （23STA031）
国家自然科学基金项目(62406104) （62406104）
教育部中外语言交流合作中心国际中文教育研究课题(23YH26C) （23YH26C）
河南省高等学校重点科研项目(24A520019) （24A520019）
河南省软科学研究计划项目(242400410321) （242400410321）
