Based on fuzzy characteristic of dicision-making thought, matrix of priority relation has been introduced and blurrized. A kind of fuzzy method, which is to determine the index weight on multi-objective decision makin...Based on fuzzy characteristic of dicision-making thought, matrix of priority relation has been introduced and blurrized. A kind of fuzzy method, which is to determine the index weight on multi-objective decision making, has been put forward by means of the sequence root method for analysis of hierarchical process (AHP). Using this method an example which is to define the index weigbt on multi-objective decision making in thc scheme optimization of mine design has been given.展开更多
Proper treatment of weak subgrade soil is very important to building a highway of good quality. We proposed an entropy-based multi-criterion group decision analysis method for a group of experts to evaluate alternativ...Proper treatment of weak subgrade soil is very important to building a highway of good quality. We proposed an entropy-based multi-criterion group decision analysis method for a group of experts to evaluate alternatives of weak subgrade treatment, with an aim to select the optimum technique which is technically, economically and socially viable. We used fuzzy theory to analyze multiple experts＇ evaluation on various factors of each alterative treatment. Different experts＇ evaluations are integrated by the group eigenvalue method. An entropy weight is introduced to minimize the negative influences of subjective human factors of experts. The optimum alternative is identified with ideal point diseriminant analysis to calculate the distance of each alternative to the ideal point and prioritize all alternatives according to their distances. A case study on a section of the Shiman Expressway verified that the proposed method can give a rational decision on the optimum method of weak subgrade treatment.展开更多
目的针对飞机货舱配载方案评估中多属性决策的复杂性,以及现有评估方法在权重确定上过度依赖专家经验导致的主观偏差,或单纯依赖客观数据忽略决策者偏好的局限性,提出一种融合主观先验与客观数据驱动的混合赋权评估模型,以提供更为合理...目的针对飞机货舱配载方案评估中多属性决策的复杂性,以及现有评估方法在权重确定上过度依赖专家经验导致的主观偏差,或单纯依赖客观数据忽略决策者偏好的局限性,提出一种融合主观先验与客观数据驱动的混合赋权评估模型,以提供更为合理、可靠的配载方案择优决策支持。方法首先,引入大型语言模型(Large language model,LLM),构建“虚拟专家委员会”,通过精心设计的提示词工程,获取多维度、多情境下的主观权重。其次,针对传统熵权法对数据分布敏感、难以有效区分指标优劣等问题,提出一种改进的数据预处理熵权法(Improved data preprocessing entropy weighting method,IDPEW),该方法结合指标值的辨识度和信息熵的均衡性来确定客观权重。最后,将LLM生成的主观权重与IDPEW计算的客观权重进行加权组合,构建综合评价函数,对飞机货舱配载方案进行全面评估和排序。结果实验结果表明,LLM模拟专家意见时最关注“装载率”(主观权重0.2250),而IDPEW方法从数据中识别出“横向不平衡度”最具区分力(客观权重0.2481)。混合赋权模型(α=0.5)有效平衡了主客观偏好,在24个方案中精准识别出综合性能最优的方案,验证了模型在复杂情境下的稳定性。结论创新性地利用LLM低成本构建“虚拟专家”获取先验知识,并通过耦合指标辨识度与均衡性的IDPEW方法,提升了客观赋权精度。该模型克服了单一赋权的局限,为飞机货舱配载方案的科学评估提供了一种兼具可解释性和实用性的新范式。展开更多
提出一种改进的ELECTRE(elimination et choix traduisant la réalité)动态模糊多属性决策方法。首先,对动态决策矩阵运用熵权法获得客观的时间权重;其次,提出改进的ELECTRE方法,针对直觉模糊数不可直接比较的问题,根据隶属...提出一种改进的ELECTRE(elimination et choix traduisant la réalité)动态模糊多属性决策方法。首先,对动态决策矩阵运用熵权法获得客观的时间权重;其次,提出改进的ELECTRE方法,针对直觉模糊数不可直接比较的问题,根据隶属度、非隶属度值不同的物理含义,分别构造其级别优先的一致性和矛盾性动态指标函数,再融合为各属性的一致性和矛盾性动态指标;随后,根据其相反的赋值意义,利用时间权重分别进行集成,获得综合各时间段的一致性和矛盾性指标并进行耦合,从而得到各方案的赋值级别优先关系,最终完成方案排序。实验数据验证了方法的有效性与可行性。展开更多
In order to make a decision in the face of multiple objectives, it is necessary to know the relative importance of the different objectives. Yet, it is often very difficult to specify a set of precise weights before p...In order to make a decision in the face of multiple objectives, it is necessary to know the relative importance of the different objectives. Yet, it is often very difficult to specify a set of precise weights before possible alternatives solutions are known. In this paper, we present an improved weighted method, which is based on a modified definition by the membership function of fuzzy theory; an interactive, iterative method for arriving at an acceptable solution. The decision maker gradually discerns what is achievable and adjusts his aspirations and implicitly the specification of weights and trade-offs between his objectives, in the light of what he learns. To aid the decision maker＇s cognition and to allow him to express his wishes in a natural way, we present decision maker with grey relational degree to select the best solution from the finite solutions.展开更多
【目的】户用微电网是新型电力系统的重要组成部分,其优化运行对提高可再生能源利用率、降低系统的运行成本非常重要。但是,光伏等分布式电源的出力及负荷的强不确定性给户用微电网的优化运行带来很大挑战,为此,提出了一种基于信息间隙...【目的】户用微电网是新型电力系统的重要组成部分,其优化运行对提高可再生能源利用率、降低系统的运行成本非常重要。但是,光伏等分布式电源的出力及负荷的强不确定性给户用微电网的优化运行带来很大挑战,为此,提出了一种基于信息间隙决策理论(information gap decision theory,IGDT)的鲁棒优化运行模型。【方法】首先,充分考虑分时电价的影响,建立以用户成本最低为目标的并网型户用微电网优化运行模型;然后,在该模型基础上,综合考虑光伏、负荷和电动汽车充电等不确定性因素对户用微电网优化运行的影响,构建基于IGDT的鲁棒优化运行模型;最后,采用分层序列法结合熵权法对模型进行求解。【结果】通过蒙特卡洛模拟,验证了IGDT鲁棒模型处理光伏和负荷等不确定性时的有效性和可靠性。【结论】该模型为户用微电网的优化运行提供了一种可行的解决方案,对提高户用微电网的运行经济性和分布式可再生能源的就地消纳率具有重要意义。展开更多
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
文摘Based on fuzzy characteristic of dicision-making thought, matrix of priority relation has been introduced and blurrized. A kind of fuzzy method, which is to determine the index weight on multi-objective decision making, has been put forward by means of the sequence root method for analysis of hierarchical process (AHP). Using this method an example which is to define the index weigbt on multi-objective decision making in thc scheme optimization of mine design has been given.
基金the National Natural Science Foundation of China (No.50478090)the Key Plan of Science and Technology of Hubei Provincial Communication Department (No.2005jtkj361)
文摘Proper treatment of weak subgrade soil is very important to building a highway of good quality. We proposed an entropy-based multi-criterion group decision analysis method for a group of experts to evaluate alternatives of weak subgrade treatment, with an aim to select the optimum technique which is technically, economically and socially viable. We used fuzzy theory to analyze multiple experts＇ evaluation on various factors of each alterative treatment. Different experts＇ evaluations are integrated by the group eigenvalue method. An entropy weight is introduced to minimize the negative influences of subjective human factors of experts. The optimum alternative is identified with ideal point diseriminant analysis to calculate the distance of each alternative to the ideal point and prioritize all alternatives according to their distances. A case study on a section of the Shiman Expressway verified that the proposed method can give a rational decision on the optimum method of weak subgrade treatment.
文摘目的针对飞机货舱配载方案评估中多属性决策的复杂性,以及现有评估方法在权重确定上过度依赖专家经验导致的主观偏差,或单纯依赖客观数据忽略决策者偏好的局限性,提出一种融合主观先验与客观数据驱动的混合赋权评估模型,以提供更为合理、可靠的配载方案择优决策支持。方法首先,引入大型语言模型(Large language model,LLM),构建“虚拟专家委员会”,通过精心设计的提示词工程,获取多维度、多情境下的主观权重。其次,针对传统熵权法对数据分布敏感、难以有效区分指标优劣等问题,提出一种改进的数据预处理熵权法(Improved data preprocessing entropy weighting method,IDPEW),该方法结合指标值的辨识度和信息熵的均衡性来确定客观权重。最后,将LLM生成的主观权重与IDPEW计算的客观权重进行加权组合,构建综合评价函数,对飞机货舱配载方案进行全面评估和排序。结果实验结果表明,LLM模拟专家意见时最关注“装载率”(主观权重0.2250),而IDPEW方法从数据中识别出“横向不平衡度”最具区分力(客观权重0.2481)。混合赋权模型(α=0.5)有效平衡了主客观偏好,在24个方案中精准识别出综合性能最优的方案,验证了模型在复杂情境下的稳定性。结论创新性地利用LLM低成本构建“虚拟专家”获取先验知识,并通过耦合指标辨识度与均衡性的IDPEW方法,提升了客观赋权精度。该模型克服了单一赋权的局限,为飞机货舱配载方案的科学评估提供了一种兼具可解释性和实用性的新范式。
文摘提出一种改进的ELECTRE(elimination et choix traduisant la réalité)动态模糊多属性决策方法。首先,对动态决策矩阵运用熵权法获得客观的时间权重;其次,提出改进的ELECTRE方法,针对直觉模糊数不可直接比较的问题,根据隶属度、非隶属度值不同的物理含义,分别构造其级别优先的一致性和矛盾性动态指标函数,再融合为各属性的一致性和矛盾性动态指标;随后,根据其相反的赋值意义,利用时间权重分别进行集成,获得综合各时间段的一致性和矛盾性指标并进行耦合,从而得到各方案的赋值级别优先关系,最终完成方案排序。实验数据验证了方法的有效性与可行性。
基金This research is supported by National Natural Science Foundation of China（70471019）
文摘In order to make a decision in the face of multiple objectives, it is necessary to know the relative importance of the different objectives. Yet, it is often very difficult to specify a set of precise weights before possible alternatives solutions are known. In this paper, we present an improved weighted method, which is based on a modified definition by the membership function of fuzzy theory; an interactive, iterative method for arriving at an acceptable solution. The decision maker gradually discerns what is achievable and adjusts his aspirations and implicitly the specification of weights and trade-offs between his objectives, in the light of what he learns. To aid the decision maker＇s cognition and to allow him to express his wishes in a natural way, we present decision maker with grey relational degree to select the best solution from the finite solutions.
文摘【目的】户用微电网是新型电力系统的重要组成部分,其优化运行对提高可再生能源利用率、降低系统的运行成本非常重要。但是,光伏等分布式电源的出力及负荷的强不确定性给户用微电网的优化运行带来很大挑战,为此,提出了一种基于信息间隙决策理论(information gap decision theory,IGDT)的鲁棒优化运行模型。【方法】首先,充分考虑分时电价的影响,建立以用户成本最低为目标的并网型户用微电网优化运行模型;然后,在该模型基础上,综合考虑光伏、负荷和电动汽车充电等不确定性因素对户用微电网优化运行的影响,构建基于IGDT的鲁棒优化运行模型;最后,采用分层序列法结合熵权法对模型进行求解。【结果】通过蒙特卡洛模拟,验证了IGDT鲁棒模型处理光伏和负荷等不确定性时的有效性和可靠性。【结论】该模型为户用微电网的优化运行提供了一种可行的解决方案,对提高户用微电网的运行经济性和分布式可再生能源的就地消纳率具有重要意义。
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.
