基于几乎随机占优的语言值概念知识获取方法OA

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.