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改进概率语言ORESTE的人岗匹配决策方法
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作者 王磊 李文杰 王海 《计算机工程》 CAS CSCD 北大核心 2024年第12期407-416,共10页
针对以多属性概率语言集为信息环境的人岗匹配决策问题,构建基于改进ORESTE排序法和匹配意愿的双边匹配模型。提出概率语言广义兰氏距离公式,利用概率语言幂平均算子确定属性客观权重,并基于博弈论的思想对主、客观权重进行组合优化,从... 针对以多属性概率语言集为信息环境的人岗匹配决策问题,构建基于改进ORESTE排序法和匹配意愿的双边匹配模型。提出概率语言广义兰氏距离公式,利用概率语言幂平均算子确定属性客观权重,并基于博弈论的思想对主、客观权重进行组合优化,从而克服极端值对决策结果的影响,并使得属性权重兼顾专家经验判断的主观分析和信息结构的客观分析两方面因素,更具科学性。改进ORESTE排序法,在ORESTE排序法的弱排序与强排序相结合的基础上,通过引入概率语言广义兰氏距离公式和Borda函数,同时考虑最优化组合的主客观权重,从而使排序结果更加真实与符合实际。为了最大化地满足主体意愿,根据心理行为“首因效应”,提出具有稳定性的新匹配意愿系数,以此构建合理有效的多目标双边匹配模型。在某智慧养老服务平台上的养老服务人岗匹配算例结果表明,该双边匹配模型具有有效性,且决策者可以根据自身风险偏好调节参数κ以最大程度地满足主体意愿。相比ORESTE、TOPSIS等决策方法,所提的改进ORESTE匹配模型能够更加合理有效地计算排序值来获得最优匹配对。 展开更多
关键词 人岗匹配 概率语言广义兰氏距离 博弈论 改进ORESTE排序法 新匹配意愿系数
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Comparison between the Medullary Indexes of Hairs from Apodemus orestes and A.draco,with Discussion about the Taxonomic Status of A.orestes 被引量:5
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作者 吴攀文 周材权 +2 位作者 王艳妮 胡锦矗 张承德 《Zoological Research》 CAS CSCD 北大核心 2004年第6期534-537,共4页
The taxonomic status of long-tailed field mouse (Apodemus orestes) is still uncertain up to now.Some scholars regarded it as a subspecies or a synonym of dragon field mouse (A.draco),while other scholars considered it... The taxonomic status of long-tailed field mouse (Apodemus orestes) is still uncertain up to now.Some scholars regarded it as a subspecies or a synonym of dragon field mouse (A.draco),while other scholars considered it a valid species.In the study,five specimens of adult long-tailed field mouse,dragon field mouse and Chevrier's field mouse (A.chevrieri) (as a contrast) were chosen respectively.After treated,with the eyepiece micrometer in the inverted microscope,we made measurements of the widths of hairs and medullas and then calculated the medullary indexes of straight guard hairs from around the mouth,head,back,abdomen and forelimb of each species.The results indicate that,viewing at each of the five parts and the mixture of the five parts,there are no significant differences between A.orestes and A.draco,Significant differences can be found between A.orestes & A.chevrieri and A.draco & A.chevrieri though.The standpoint that A.orestes was listed as a valid species is not supported by this study. 展开更多
关键词 Apodemus orestes Apodemus draco Medullary index of hair Taxonomic status
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Theatrical Traces of the Past in the Contemporary Theatre: The Case of Simos Kakalas
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作者 Tania Neofytou 《Journal of Literature and Art Studies》 2017年第3期278-287,共10页
This paper examines the contemporary theatre of Simos Kakalas, the director of Horos Theatre Company, and his troupe. The object of this study is the performances of the troupe during the period 2004-2016, which incl... This paper examines the contemporary theatre of Simos Kakalas, the director of Horos Theatre Company, and his troupe. The object of this study is the performances of the troupe during the period 2004-2016, which include: (1) the eight different versions of the dramatic idyll Golfo, written in 1894 by Spyridon Peresiadis; (2) the three different versions of the tragedy Erofili, written in Crete in 1595 by Georgios Hortatzis, and (3) the three different versions of the ancient Greek tragedy Euripides' Orestes written in 408 B.C. The research shows how these performances bring the young audience closer to the Greek theatre, tradition and identity, and at the same time they lead the audience's thought to current issues. It also explores how Kakalas brings the past closer to us to the present time, combining the poetic fifteen-syllable verse, the theatrical codes of the Greek "bouloukia" (the wandering troupes who used to play at squares in the nineteenth century), the technique of narration, parody and shadow theatre with postmodern style, manga masks, video projections and anime. 展开更多
关键词 Simos Kakalas Contemporary Greek Theatre Orestes Erofili Golfo
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基于共识模型和ORESTE的扩展概率语言多属性群决策方法 被引量:9
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作者 刘培德 滕飞 《中国管理科学》 CSSCI CSCD 北大核心 2021年第3期199-209,共11页
扩展概率语言词集作为一种更具通用性的语言信息表示模型,能够更加充分地描述原始评价信息,提高语言多属性决策的科学性。鉴于此,本文针对扩展概率语言环境下的多属性群决策问题,提出一种基于共识模型和ORESTE方法的多属性群决策方法。... 扩展概率语言词集作为一种更具通用性的语言信息表示模型,能够更加充分地描述原始评价信息,提高语言多属性决策的科学性。鉴于此,本文针对扩展概率语言环境下的多属性群决策问题,提出一种基于共识模型和ORESTE方法的多属性群决策方法。首先,给出了扩展概率语言词集的概念以及相关理论。其次,考虑到群决策过程中专家群体因知识背景以及素质能力的不同从而给出不同的评价信息导致群体意见不一致的情况,提出了扩展概率语言环境下的共识模型。再次,鉴于多数情况下备选方案间不存在单一排序顺序,本文对经典的ORESTE方法进行改进,提出扩展概率语言ORESTE方法。基于本文提出的扩展概率语言共识模型和扩展概率语言ORESTE方法,提出了扩展概率语言多属性群决策方法。最后,为了验证本文提出方法的有效性和合理性,采用共享单车设计方案评价算例进行分析,并通过与其他方法的对比分析说明本文提出方法的优越性。 展开更多
关键词 扩展概率语言词集 共识模型 ORESTE方法 多属性群决策
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Multi-attribute decision making with Pythagorean fuzzy sets via conversions to intuitionistic fuzzy sets and ORESTE method 被引量:1
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作者 Zhifu Tao Jiaming Zhu +2 位作者 Ligang Zhou Jinpei Liu Huayou Chen 《Journal of Control and Decision》 EI 2021年第3期372-383,共12页
The aim of this paper is to study the conversions between Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets.Besides,an ORESTE method based on multi-attribute decision making with Pythagorean fuzzy sets... The aim of this paper is to study the conversions between Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets.Besides,an ORESTE method based on multi-attribute decision making with Pythagorean fuzzy sets is developed by utilising the developed conversions.In this paper,according to the geometric representations of Pythagorean fuzzy sets and Atanassov’s intuitionistic fuzzy sets,two types of conversions between the two fuzzy sets are constructed,which are further used to derive information measures include entropy and cross-entropy measures of Pythagorean fuzzy sets.Then,by combining with the ORESTE method,a direct decision procedure for multi-attribute decision making with Pythagorean fuzzy information is developed.Finally,a numerical example of the evaluation of regional energy efficiency is shown to illustrate the feasibility and validity of the developed decision procedure. 展开更多
关键词 Pythagorean fuzzy sets multi-attribute decision making Atanassov’s intuitionistic fuzzy sets ORESTE ENTROPIES
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