With respect to the multiple attribute decision making problems with linguistic preference relations on alternatives in the form of incomplete linguistic judgment matrix, a method is proposed to analyze the decision p...With respect to the multiple attribute decision making problems with linguistic preference relations on alternatives in the form of incomplete linguistic judgment matrix, a method is proposed to analyze the decision problem. The incomplete linguistic judgment matrix is transformed into incomplete fuzzy judgment matrix and an optimization model is developed on the basis of incomplete fuzzy judgment matrix provided by the decision maker and the decision matrix to determine attribute weights by Lagrange multiplier method. Then the overall values of all alternatives are calculated to rank them. A numerical example is given to illustrate the feasibility and practicality of the proposed method.展开更多
For group decision-making problems with linguistic assessment information, a new method based on two-tuple and WC-OWA operator is proposed, in which the criteria＇s weights and the decision-makers＇ preference informa...For group decision-making problems with linguistic assessment information, a new method based on two-tuple and WC-OWA operator is proposed, in which the criteria＇s weights and the decision-makers＇ preference information might take the form of linguistic grade, or might be between two continuous linguistic grades, or might be linguistic interval, or might be default. In this method, all linguistic values are transformed into two-tuple, and an aggregative decision-making matrix is obtained by using interval operation. The group aggregative values of each criterion on alternatives are computed by using a WC-OWA operator, the aggregative values on alternatives are worked out, and transformed into two-tuple. And the rank of the alternatives is obtained by using the order property of two-tuple. An example shows the feasibility and effectiveness of the proposed method.展开更多
Linguistic civilization orientation is a necessity for all eras,with which the motivation,viable model and pragmatic hypothesis of the language can be formed."Chinese character— Chinese language"takes on di...Linguistic civilization orientation is a necessity for all eras,with which the motivation,viable model and pragmatic hypothesis of the language can be formed."Chinese character— Chinese language"takes on different cultures in different regions, embodying the integration of language and civilization. As a result, in order to analyze linguistics, it is necessary for us to compare the Chinese language at home and abroad, and it is the linguistic construction based on the public. The modern Chinese language inherits the cultural connotation of the Chinese linguistics and answers the regional hypothesis and establishes the new linguistic system for the Chinese language in different regions.展开更多
现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针...现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针对上述问题,提出一种改进语言规则中的表示的隐喻识别模型(MeRL)。首先,增强选择偏好违反(SPV)和隐喻识别过程(MIP)规则都涉及目标词的语义表示;其次,表征MIP规则中的目标词的基本义;最后,融合基于规则设计的SPV与MIP模块来共同识别隐喻。相较于MelBERT(Metaphor-aware late interaction over BERT)等基线模型,在基准数据集VUA-18、VUA Verb、MOH-X上的实验结果表明,所提模型的F1值分别至少提高了0.6、0.9、1.2个百分点,表明该模型识别隐喻更准确;在TroFi数据集上进行zero-shot迁移学习的结果显示,所提模型的F1值至少提高了0.7个百分点,表明该模型的泛化能力更强。展开更多
Due to people’s increasing dependence on social networks,it is essential to develop a consensus model considering not only their own factors but also the interaction between people.Both external trust relationship am...Due to people’s increasing dependence on social networks,it is essential to develop a consensus model considering not only their own factors but also the interaction between people.Both external trust relationship among experts and the internal reliability of experts are important factors in decision-making.This paper focuses on improving the scientificity and effectiveness of decision-making and presents a consensus model combining trust relationship among experts and expert reliability in social network group decision-making(SN-GDM).A concept named matching degree is proposed to measure expert reliability.Meanwhile,linguistic information is applied to manage the imprecise and vague information.Matching degree is expressed by a 2-tuple linguistic model,and experts’preferences are measured by a probabilistic linguistic term set(PLTS).Subsequently,a hybrid weight is explored to weigh experts’importance in a group.Then a consensus measure is introduced and a feedback mechanism is developed to produce some personalized recommendations with higher group consensus.Finally,a comparative example is provided to prove the scientificity and effectiveness of the proposed consensus model.展开更多
为了解决在实际决策时,由于知识背景不同决策者采用不同粒度语言术语集来表达而导致决策结果不准确的问题,本文提出了一种基于多粒度犹豫模糊语言术语集的逼近理想解排序(technique for order preference by similarity to ideal soluti...为了解决在实际决策时,由于知识背景不同决策者采用不同粒度语言术语集来表达而导致决策结果不准确的问题,本文提出了一种基于多粒度犹豫模糊语言术语集的逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)决策方法。首先选用各术语集中的最大粒度作为标准粒度,通过转换算法将每个决策者的语言术语集转换到同一标准粒度下进行集结,得出相应的隶属度语言术语集;然后结合TOPSIS方法,计算每个备选方案与正、负理想点距离,以相对贴近度的大小排序实现最优方案的选择;最后,通过一个实例,验证该方法的可行性和优越性。本文所提方法可应用于最优方案的选择问题中,提升决策结果准确度。展开更多
基金the National Natural Science Foundation of China (70701008)National Science Foundationfor Distinguished Young Scholars of China (70525002)
文摘With respect to the multiple attribute decision making problems with linguistic preference relations on alternatives in the form of incomplete linguistic judgment matrix, a method is proposed to analyze the decision problem. The incomplete linguistic judgment matrix is transformed into incomplete fuzzy judgment matrix and an optimization model is developed on the basis of incomplete fuzzy judgment matrix provided by the decision maker and the decision matrix to determine attribute weights by Lagrange multiplier method. Then the overall values of all alternatives are calculated to rank them. A numerical example is given to illustrate the feasibility and practicality of the proposed method.
基金the Key Project of National Natural Science Foundation of China (70631004)the National Natural Science Foundation of China (70771115)
文摘For group decision-making problems with linguistic assessment information, a new method based on two-tuple and WC-OWA operator is proposed, in which the criteria＇s weights and the decision-makers＇ preference information might take the form of linguistic grade, or might be between two continuous linguistic grades, or might be linguistic interval, or might be default. In this method, all linguistic values are transformed into two-tuple, and an aggregative decision-making matrix is obtained by using interval operation. The group aggregative values of each criterion on alternatives are computed by using a WC-OWA operator, the aggregative values on alternatives are worked out, and transformed into two-tuple. And the rank of the alternatives is obtained by using the order property of two-tuple. An example shows the feasibility and effectiveness of the proposed method.
文摘Linguistic civilization orientation is a necessity for all eras,with which the motivation,viable model and pragmatic hypothesis of the language can be formed."Chinese character— Chinese language"takes on different cultures in different regions, embodying the integration of language and civilization. As a result, in order to analyze linguistics, it is necessary for us to compare the Chinese language at home and abroad, and it is the linguistic construction based on the public. The modern Chinese language inherits the cultural connotation of the Chinese linguistics and answers the regional hypothesis and establishes the new linguistic system for the Chinese language in different regions.
文摘现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针对上述问题,提出一种改进语言规则中的表示的隐喻识别模型(MeRL)。首先,增强选择偏好违反(SPV)和隐喻识别过程(MIP)规则都涉及目标词的语义表示;其次,表征MIP规则中的目标词的基本义;最后,融合基于规则设计的SPV与MIP模块来共同识别隐喻。相较于MelBERT(Metaphor-aware late interaction over BERT)等基线模型,在基准数据集VUA-18、VUA Verb、MOH-X上的实验结果表明,所提模型的F1值分别至少提高了0.6、0.9、1.2个百分点,表明该模型识别隐喻更准确;在TroFi数据集上进行zero-shot迁移学习的结果显示,所提模型的F1值至少提高了0.7个百分点,表明该模型的泛化能力更强。
基金the National Natural Science Foundation of China(71871121).
文摘Due to people’s increasing dependence on social networks,it is essential to develop a consensus model considering not only their own factors but also the interaction between people.Both external trust relationship among experts and the internal reliability of experts are important factors in decision-making.This paper focuses on improving the scientificity and effectiveness of decision-making and presents a consensus model combining trust relationship among experts and expert reliability in social network group decision-making(SN-GDM).A concept named matching degree is proposed to measure expert reliability.Meanwhile,linguistic information is applied to manage the imprecise and vague information.Matching degree is expressed by a 2-tuple linguistic model,and experts’preferences are measured by a probabilistic linguistic term set(PLTS).Subsequently,a hybrid weight is explored to weigh experts’importance in a group.Then a consensus measure is introduced and a feedback mechanism is developed to produce some personalized recommendations with higher group consensus.Finally,a comparative example is provided to prove the scientificity and effectiveness of the proposed consensus model.
文摘为了解决在实际决策时,由于知识背景不同决策者采用不同粒度语言术语集来表达而导致决策结果不准确的问题,本文提出了一种基于多粒度犹豫模糊语言术语集的逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)决策方法。首先选用各术语集中的最大粒度作为标准粒度,通过转换算法将每个决策者的语言术语集转换到同一标准粒度下进行集结,得出相应的隶属度语言术语集;然后结合TOPSIS方法,计算每个备选方案与正、负理想点距离,以相对贴近度的大小排序实现最优方案的选择;最后,通过一个实例,验证该方法的可行性和优越性。本文所提方法可应用于最优方案的选择问题中,提升决策结果准确度。
