Purpose:This study aims to address the lack of a unified grading framework in Chinese reading by proposing a comprehensive model integrating linguistic complexity and reading experience,to evaluate the difficulty leve...Purpose:This study aims to address the lack of a unified grading framework in Chinese reading by proposing a comprehensive model integrating linguistic complexity and reading experience,to evaluate the difficulty level of Chinese books.Design/methodology/approach:We utilized the Probabilistic Fuzzy Linguistic Technique(PFLT)for subjective indicators related to reading experience.Combined with collected objective indicators data,the Entropy Weight Method(EWM)is used for objective weight allocation,and Tomada De Decisão Interativa Multicritério(TODIM)is applied for multi-criteria decision-making.Findings:The results demonstrate that the proposed framework significantly enhances the alignment between text complexity and reader engagement,achieving a high consistency with authoritative benchmarks.Research limitations:The study may be limited by the scope of subjective and objective indicators used;further validation with more diverse data sources could strengthen generalizability.Practical implications:This approach shows promise in advancing the standardization and objectivity of Chinese reading grading systems,with potential applications in educational and publishing contexts.Originality/value:This study offers a structured evaluation model that incorporates both linguistic complexity and experiential factors,providing a novel and comprehensive method for assessing Chinese text difficulty.展开更多
针对基于完全序值信息的双边匹配问题,提出了一种考虑主体心理行为的决策方法。首先给出了考虑主体心理行为的双边匹配问题的描述。其次,以期望序值作为参照点,计算了序值相对于参照点的收益或损失。考虑到主体对待收益和损失的不同风...针对基于完全序值信息的双边匹配问题,提出了一种考虑主体心理行为的决策方法。首先给出了考虑主体心理行为的双边匹配问题的描述。其次,以期望序值作为参照点,计算了序值相对于参照点的收益或损失。考虑到主体对待收益和损失的不同风险态度,依据交互式多准则决策(tomada de deciso interativa emulticritério,TODIM)思想计算每个主体针对另一方主体的感知价值。在此基础上,构建了求解该双边匹配问题的双目标优化模型,使用线性加权法将双目标优化模型转化为单目标优化模型,通过求解该单目标优化模型获得匹配结果。实例分析说明了所提方法的有效性。展开更多
基金supported by the Humanities and Social Sciences Cultivation Fund Project of the USST(Grant No.24SKPY04)the China Youth and Children Research Association(Grant No.2023B18).
文摘Purpose:This study aims to address the lack of a unified grading framework in Chinese reading by proposing a comprehensive model integrating linguistic complexity and reading experience,to evaluate the difficulty level of Chinese books.Design/methodology/approach:We utilized the Probabilistic Fuzzy Linguistic Technique(PFLT)for subjective indicators related to reading experience.Combined with collected objective indicators data,the Entropy Weight Method(EWM)is used for objective weight allocation,and Tomada De Decisão Interativa Multicritério(TODIM)is applied for multi-criteria decision-making.Findings:The results demonstrate that the proposed framework significantly enhances the alignment between text complexity and reader engagement,achieving a high consistency with authoritative benchmarks.Research limitations:The study may be limited by the scope of subjective and objective indicators used;further validation with more diverse data sources could strengthen generalizability.Practical implications:This approach shows promise in advancing the standardization and objectivity of Chinese reading grading systems,with potential applications in educational and publishing contexts.Originality/value:This study offers a structured evaluation model that incorporates both linguistic complexity and experiential factors,providing a novel and comprehensive method for assessing Chinese text difficulty.
文摘针对基于完全序值信息的双边匹配问题,提出了一种考虑主体心理行为的决策方法。首先给出了考虑主体心理行为的双边匹配问题的描述。其次,以期望序值作为参照点,计算了序值相对于参照点的收益或损失。考虑到主体对待收益和损失的不同风险态度,依据交互式多准则决策(tomada de deciso interativa emulticritério,TODIM)思想计算每个主体针对另一方主体的感知价值。在此基础上,构建了求解该双边匹配问题的双目标优化模型,使用线性加权法将双目标优化模型转化为单目标优化模型,通过求解该单目标优化模型获得匹配结果。实例分析说明了所提方法的有效性。
