The conventional data envelopment analysis （DEA） measures the relative efficiencies of a set of decision making units with exact values of inputs and outputs. In real-world prob- lems, however, inputs and outputs ty...The conventional data envelopment analysis （DEA） measures the relative efficiencies of a set of decision making units with exact values of inputs and outputs. In real-world prob- lems, however, inputs and outputs typically have some levels of fuzziness. To analyze a decision making unit （DMU） with fuzzy input/output data, previous studies provided the fuzzy DEA model and proposed an associated evaluating approach. Nonetheless, numerous deficiencies must still be improved, including the α- cut approaches, types of fuzzy numbers, and ranking techniques. Moreover, a fuzzy sample DMU still cannot be evaluated for the Fuzzy DEA model. Therefore, this paper proposes a fuzzy DEA model based on sample decision making unit （FSDEA）. Five eval- uation approaches and the related algorithm and ranking methods are provided to test the fuzzy sample DMU of the FSDEA model. A numerical experiment is used to demonstrate and compare the results with those obtained using alternative approaches.展开更多
The classic data envelopment analysis（DEA） model is used to evaluate decision-making units＇（DMUs） efficiency under the assumption that all DMUs are evaluated with the same criteria setting. Recently, new research...The classic data envelopment analysis（DEA） model is used to evaluate decision-making units＇（DMUs） efficiency under the assumption that all DMUs are evaluated with the same criteria setting. Recently, new researches begin to focus on the efficiency analysis of non-homogeneous DMU arose by real practices such as the evaluation of departments in a university, where departments argue for the adoption of different criteria based on their disciplinary characteristics. A DEA procedure is proposed in this paper to address the efficiency analysis of two non-homogeneous DMU groups. Firstly, an analytical framework is established to compromise diversified input and output（IO） criteria from two nonhomogenous groups. Then, a criteria fusion operation is designed to obtain different DEA analysis strategies. Meanwhile, Friedman test is introduced to analyze the consistency of all efficiency results produced by different strategies. Next, ordered weighted averaging（OWA） operators are applied to integrate different information to reach final conclusions. Finally, a numerical example is used to illustrate the proposed method. The result indicates that the proposed method relaxes the restriction of the classical DEA model,and can provide more analytical flexibility to address different decision analysis scenarios arose from practical applications.展开更多
目的了解重症监护室护士道德困境的真实体验,为管理者制定干预措施,提高重症监护室护士幸福感,稳定护理队伍提供参考。方法检索中国知网、维普、中国生物医学文献数据库、万方、PubMed、the Cochrane Library、Web of Science、Embase...目的了解重症监护室护士道德困境的真实体验,为管理者制定干预措施,提高重症监护室护士幸福感,稳定护理队伍提供参考。方法检索中国知网、维普、中国生物医学文献数据库、万方、PubMed、the Cochrane Library、Web of Science、Embase数据库关于重症监护室护士道德困境的质性研究,检索时限为建库至2023年7月24日。根据JBI循证卫生保健中心推荐的质性研究质量评价标准对纳入文献进行质量评价,运用Meta整合方法对研究结果进行整合。结果共纳入8篇文献,从纳入研究中提炼出36个主题,将其归纳成为10个新类别,综合成3个整合结果,即ICU护士经历道德困境受多种因素影响,护士遭遇道德困境时的情感体验,应对道德困境的策略。结论重症监护室护士存在一定程度的道德困境,护理管理者应了解其产生的原因,并制定和实施有效干预措施,以减少重症监护室护士道德困扰,促进护士生理心理健康发展,稳定护理队伍。展开更多
目的系统评价NICU临终新生儿父母决策参与体验的质性研究。方法检索数据库PubMed、Web of Science、Embase、CINAHL、Cochrane Library、Sinomed、中国知网、万方和维普数据库关于NICU临终新生儿父母决策参与体验的质性研究,检索时限为...目的系统评价NICU临终新生儿父母决策参与体验的质性研究。方法检索数据库PubMed、Web of Science、Embase、CINAHL、Cochrane Library、Sinomed、中国知网、万方和维普数据库关于NICU临终新生儿父母决策参与体验的质性研究,检索时限为建库至2023年8月。文献质量评价采用澳大利亚乔安娜布里格斯研究所质性研究质量评价标准,采用汇集性Meta整合方法对文献进行归纳。结果共纳入13篇文献,提炼出33个结果,归纳为12个新类别,合成4个整合结果:临终新生儿父母决策参与倾向、临终新生儿父母决策角色体验、临终新生儿父母决策中的障碍、临终新生儿父母决策中的需求。结论NICU临终新生儿父母面临艰难的决策选择,医护人员需与父母共同确定其在决策中的理想角色,制定个性化的沟通内容,社会、医院以及家庭需创造支持性的社会心理环境,给予父母信息及情感支持,提高临终新生儿父母在决策中的应对力。展开更多
煤电转型中需要兼顾低碳发展要求和电力系统安全保供的问题,然而我国各地区煤电发展定位、机组特性等各不相同,因此在转型决策上具有路径多样化的特点,例如:灵活性改造、综合能源服务、技术减碳、备用辅助服务机组和关停退出等。鉴于此...煤电转型中需要兼顾低碳发展要求和电力系统安全保供的问题,然而我国各地区煤电发展定位、机组特性等各不相同,因此在转型决策上具有路径多样化的特点,例如:灵活性改造、综合能源服务、技术减碳、备用辅助服务机组和关停退出等。鉴于此,从多维度视角开展针对煤电转型路径决策的研究。首先,从资源替代、环境影响、监管合规维度构建煤电转型的综合评价指标体系;其次,以综合评价方法和指标间相关性权重(criteria importance though intercrieria correlation,CRITIC)法为工具,对我国4702台现役煤电机组进行转型综合评价;再次,结合《中国“十四五”电力发展规划研究》对煤电装机结构在2035年的9.11亿kW容量目标要求,筛选出需要转型的煤电机组。结果表明,1067台机组,共2.5亿kW容量,是需要在2035年前完成转型的煤电机组。从地区分布来看,东南沿海地区的煤电机组综合表现较好,而中北部、华北部等地区的煤电机组则面临较大的转型压力。展开更多
The cross-efficiency evaluation method is reviewed which is developed as a data envelopment analysis （DEA） extensive tool. The cross-efficiency evaluation method is utilized to identify the decision making unit （DM...The cross-efficiency evaluation method is reviewed which is developed as a data envelopment analysis （DEA） extensive tool. The cross-efficiency evaluation method is utilized to identify the decision making unit （DMU） with the best practice and to rank the DMUs by their respective cross-efficiency scores. The main drawbacks of the cross-efficiency evaluation method when the ultimate average cross-efficiency scores are used to evalu- ate and rank the DMUs are also pointed out. With the research gap, an improved technique for order preference by similarity to ideal solution （TOPSIS） is introduced to rank the crossfficiency by eliminating the average assumption. Finally, an empirical example is illustrated to examine the validity of the proposed method.展开更多
基金supported by the National Natural Science Foundation of China (70961005)211 Project for Postgraduate Student Program of Inner Mongolia University+1 种基金National Natural Science Foundation of Inner Mongolia (2010Zd342011MS1002)
文摘The conventional data envelopment analysis （DEA） measures the relative efficiencies of a set of decision making units with exact values of inputs and outputs. In real-world prob- lems, however, inputs and outputs typically have some levels of fuzziness. To analyze a decision making unit （DMU） with fuzzy input/output data, previous studies provided the fuzzy DEA model and proposed an associated evaluating approach. Nonetheless, numerous deficiencies must still be improved, including the α- cut approaches, types of fuzzy numbers, and ranking techniques. Moreover, a fuzzy sample DMU still cannot be evaluated for the Fuzzy DEA model. Therefore, this paper proposes a fuzzy DEA model based on sample decision making unit （FSDEA）. Five eval- uation approaches and the related algorithm and ranking methods are provided to test the fuzzy sample DMU of the FSDEA model. A numerical experiment is used to demonstrate and compare the results with those obtained using alternative approaches.
基金supported by the National Natural Science Foundation of China(71471087)
文摘The classic data envelopment analysis（DEA） model is used to evaluate decision-making units＇（DMUs） efficiency under the assumption that all DMUs are evaluated with the same criteria setting. Recently, new researches begin to focus on the efficiency analysis of non-homogeneous DMU arose by real practices such as the evaluation of departments in a university, where departments argue for the adoption of different criteria based on their disciplinary characteristics. A DEA procedure is proposed in this paper to address the efficiency analysis of two non-homogeneous DMU groups. Firstly, an analytical framework is established to compromise diversified input and output（IO） criteria from two nonhomogenous groups. Then, a criteria fusion operation is designed to obtain different DEA analysis strategies. Meanwhile, Friedman test is introduced to analyze the consistency of all efficiency results produced by different strategies. Next, ordered weighted averaging（OWA） operators are applied to integrate different information to reach final conclusions. Finally, a numerical example is used to illustrate the proposed method. The result indicates that the proposed method relaxes the restriction of the classical DEA model,and can provide more analytical flexibility to address different decision analysis scenarios arose from practical applications.
文摘目的了解重症监护室护士道德困境的真实体验,为管理者制定干预措施,提高重症监护室护士幸福感,稳定护理队伍提供参考。方法检索中国知网、维普、中国生物医学文献数据库、万方、PubMed、the Cochrane Library、Web of Science、Embase数据库关于重症监护室护士道德困境的质性研究,检索时限为建库至2023年7月24日。根据JBI循证卫生保健中心推荐的质性研究质量评价标准对纳入文献进行质量评价,运用Meta整合方法对研究结果进行整合。结果共纳入8篇文献,从纳入研究中提炼出36个主题,将其归纳成为10个新类别,综合成3个整合结果,即ICU护士经历道德困境受多种因素影响,护士遭遇道德困境时的情感体验,应对道德困境的策略。结论重症监护室护士存在一定程度的道德困境,护理管理者应了解其产生的原因,并制定和实施有效干预措施,以减少重症监护室护士道德困扰,促进护士生理心理健康发展,稳定护理队伍。
文摘目的系统评价NICU临终新生儿父母决策参与体验的质性研究。方法检索数据库PubMed、Web of Science、Embase、CINAHL、Cochrane Library、Sinomed、中国知网、万方和维普数据库关于NICU临终新生儿父母决策参与体验的质性研究,检索时限为建库至2023年8月。文献质量评价采用澳大利亚乔安娜布里格斯研究所质性研究质量评价标准,采用汇集性Meta整合方法对文献进行归纳。结果共纳入13篇文献,提炼出33个结果,归纳为12个新类别,合成4个整合结果:临终新生儿父母决策参与倾向、临终新生儿父母决策角色体验、临终新生儿父母决策中的障碍、临终新生儿父母决策中的需求。结论NICU临终新生儿父母面临艰难的决策选择,医护人员需与父母共同确定其在决策中的理想角色,制定个性化的沟通内容,社会、医院以及家庭需创造支持性的社会心理环境,给予父母信息及情感支持,提高临终新生儿父母在决策中的应对力。
文摘煤电转型中需要兼顾低碳发展要求和电力系统安全保供的问题,然而我国各地区煤电发展定位、机组特性等各不相同,因此在转型决策上具有路径多样化的特点,例如:灵活性改造、综合能源服务、技术减碳、备用辅助服务机组和关停退出等。鉴于此,从多维度视角开展针对煤电转型路径决策的研究。首先,从资源替代、环境影响、监管合规维度构建煤电转型的综合评价指标体系;其次,以综合评价方法和指标间相关性权重(criteria importance though intercrieria correlation,CRITIC)法为工具,对我国4702台现役煤电机组进行转型综合评价;再次,结合《中国“十四五”电力发展规划研究》对煤电装机结构在2035年的9.11亿kW容量目标要求,筛选出需要转型的煤电机组。结果表明,1067台机组,共2.5亿kW容量,是需要在2035年前完成转型的煤电机组。从地区分布来看,东南沿海地区的煤电机组综合表现较好,而中北部、华北部等地区的煤电机组则面临较大的转型压力。
基金supported by the National Natural Science Foundation of China for Innovative Research Groups(70821001),the National Natural Science Foundation of China(70901069)the Special Fund for the Gainers of Excellent Ph.D.'s Dissertations and Dean's Scholarships of Chinese Academy of Sciences,the Research Fund for the Doctoral Program of Higher Education of China for New Teachers(20093402120013)+1 种基金the Research Fund for the Excellent Youth Scholars of Higher School of Anhui Province of China(2010SQRW001ZD)the Social Science Research Fund for Higher School of Anhui Province of China
文摘The cross-efficiency evaluation method is reviewed which is developed as a data envelopment analysis （DEA） extensive tool. The cross-efficiency evaluation method is utilized to identify the decision making unit （DMU） with the best practice and to rank the DMUs by their respective cross-efficiency scores. The main drawbacks of the cross-efficiency evaluation method when the ultimate average cross-efficiency scores are used to evalu- ate and rank the DMUs are also pointed out. With the research gap, an improved technique for order preference by similarity to ideal solution （TOPSIS） is introduced to rank the crossfficiency by eliminating the average assumption. Finally, an empirical example is illustrated to examine the validity of the proposed method.
