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学者姓名：李美娟
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Abstract ：
Inverse data envelopment analysis (DEA) method is a useful tool for analyzing the optimization of resource allocation of a set of homogeneous decision-making units (DMUs). However, the assumption of homogeneity for DMUs is not necessarily applied in reality. For example, universities with the same input structure cultivate students with different orientations; power plants consume different resources to generate electricity. Therefore, how to handle nonhomogeneous DMUs in inverse DEA becomes an issue when analyzing the optimization of resource allocation. In this study, an inverse DEA method for nonhomogeneous DMUs under constant returns to scale (CRS) is proposed to handle the aforementioned issue. Furthermore, the inverse DEA method for nonhomogeneous DMUs is extended to the case of variable returns to scale (VRS). The adjustment range of inputs-outputs under VRS is discussed to avoid the problem of infeasibility, and relevant properties of our method are proved. Moreover, the effect of frontier changes on the proposed method is also discussed. Finally, numerical examples are provided to illustrate the effectiveness of our method.
Keyword ：
Data envelopment analysis Data envelopment analysis nonhomogeneous decision-making units nonhomogeneous decision-making units optimization of resource allocation optimization of resource allocation parallel processes parallel processes
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| GB/T 7714 | Lu, Jin-Cheng , Li, Mei-Juan , Wang, Ying-Ming . Inverse DEA based resource allocation method for nonhomogeneous decision-making units [J]. | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , 2024 . |
| MLA | Lu, Jin-Cheng 等. "Inverse DEA based resource allocation method for nonhomogeneous decision-making units" . | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2024) . |
| APA | Lu, Jin-Cheng , Li, Mei-Juan , Wang, Ying-Ming . Inverse DEA based resource allocation method for nonhomogeneous decision-making units . | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , 2024 . |
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As an important resource allocation and production analysis method, the existing inverse data envelopment analysis (Inverse DEA) methods generally ignore the production trade-offs in the production process. However, in some managerial practice, decision makers (DMs) generally have value judgements concerning the importance of inputs and outputs. These value judgements reflect the production trade-offs of DMs for different inputs and outputs and influence the production process. Therefore, this study investigates the inverse DEA method with production trade-offs. By analyzing the effect of production trade-offs on efficient frontier, this study reveals that the existing methods for identifying the limitations of changed range of inputs and outputs in inverse DEA model under variable returns to scale (VRS) are invalid when considering the production trade-offs, and based on this, the new inverse DEA methods with production trade-offs for resource allocation and production analysis are developed. Moreover, the limitations of changed range of inputs and outputs of the proposed methods are identified, thus avoiding the problem of infeasible solutions. In addition, the application scenarios and practical values of the proposed methods are discussed. Finally, two examples are provided to illustrate the rationality and effectiveness of our approaches.
Keyword ：
adjustment range adjustment range Data envelopment analysis Data envelopment analysis production analysis production analysis production trade-offs production trade-offs resource allocation resource allocation
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| GB/T 7714 | Lu, Jin-Cheng , Li, Mei-Juan , Xu, Lin-Ming . Inverse data envelopment analysis with production trade-offs [J]. | RAIRO-OPERATIONS RESEARCH , 2024 , 58 (1) : 557-577 . |
| MLA | Lu, Jin-Cheng 等. "Inverse data envelopment analysis with production trade-offs" . | RAIRO-OPERATIONS RESEARCH 58 . 1 (2024) : 557-577 . |
| APA | Lu, Jin-Cheng , Li, Mei-Juan , Xu, Lin-Ming . Inverse data envelopment analysis with production trade-offs . | RAIRO-OPERATIONS RESEARCH , 2024 , 58 (1) , 557-577 . |
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Establishing an innovation ecosystem revitalizes enterprises by fostering collaboration with other entities within the system. This collaboration results in increased resources for innovation and development, further strengthening participants' innovation and survival capacities. As the existing literature on collaborative innovation behavior within innovation ecosystems is relatively limited, the primary objective of this study is to investigate the evolutionary process and impact factors of players' collaborative innovation behavior in the enterprise innovation ecosystem (EIE). This study establishes an evolutionary game (EG) model that includes three players in an EIE to analyze their collaborative innovation behaviors in scenarios where their initial strategic probabilities are low, medium, and high. The simulation results indicate the existence of six potential evolutionary stable strategies (ESSs) within the system. The ideal ESS identified in this three-party evolutionary game model is characterized by “active collaboration, active collaboration, participation”. Furthermore, the player's behaviors in different states are affected by initial probability, synergy sensitivity, transformation efficiency, output elasticity, subsidy, punishment, and public impact. The results of this study reveal the mechanism of collaborative innovation behavior among different players in the EIE, providing beneficial references for its sustainable development. © 2024 Elsevier Inc.
Keyword ：
Collaborative innovation Collaborative innovation Enterprise innovation ecosystem Enterprise innovation ecosystem Evolutionary game Evolutionary game Strategy choice Strategy choice
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| GB/T 7714 | Yuan, N. , Li, M. . Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game [J]. | Technological Forecasting and Social Change , 2024 , 206 . |
| MLA | Yuan, N. 等. "Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game" . | Technological Forecasting and Social Change 206 (2024) . |
| APA | Yuan, N. , Li, M. . Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game . | Technological Forecasting and Social Change , 2024 , 206 . |
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PurposeThree-parameter interval grey numbers (TPIGNs) have been extensively studied as an extended form of interval numbers. However, most existing TPIGN multi-attribute decision-making methods only consider the similarity of positions, ignore the similarity of developmental directions and focus primarily on static evaluation. To address these limitations, in this study, the authors propose a dynamic technique for order preference by similarity to an ideal solution (TOPSIS) based on modified Jaccard similarity and angle similarity for TPIGNs.Design/methodology/approachFirst, the authors extend Jaccard similarity to a TPIGN environment to represent positional similarity. A simple example is provided to illustrate the limitations of the traditional Jaccard similarity. Then, the authors introduce an angle similarity measure to represent developmental directional similarity. Finally, a dynamic TOPSIS model is constructed by incorporating time-series data into conventional two-dimensional static data. Stage weights are obtained by an objective function designed to maximize the amount and minimize the fluctuation of decision information. A quadratic weighting method is adopted to derive the overall evaluation value of alternatives.FindingsTo evaluate the effectiveness of the proposed method, this study takes the pre-assessment of ice disaster and the selection of cooperative enterprises as examples. The authors then provide the results of comparative and sensitivity analyses, which demonstrate the effectiveness and flexibility of the proposed method.Originality/valueThe proposed TOPSIS method in a TPIGN environment can take a more holistic and dynamic perspective for decision-making, which helps mitigate the limitations of single-perspective or static evaluations.
Keyword ：
Angle similarity Angle similarity Comprehensive similarity Comprehensive similarity Modified Jaccard similarity Modified Jaccard similarity Quadratic weighting method Quadratic weighting method Three-parameter interval grey number Three-parameter interval grey number
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| GB/T 7714 | Li, Meijuan , Zhang, Jiarong , Shen, Zijie . Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity [J]. | GREY SYSTEMS-THEORY AND APPLICATION , 2023 , 13 (3) : 464-487 . |
| MLA | Li, Meijuan 等. "Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity" . | GREY SYSTEMS-THEORY AND APPLICATION 13 . 3 (2023) : 464-487 . |
| APA | Li, Meijuan , Zhang, Jiarong , Shen, Zijie . Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity . | GREY SYSTEMS-THEORY AND APPLICATION , 2023 , 13 (3) , 464-487 . |
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The probabilistic linguistic term set (PLTS) shows great superiority in expressing decision-makers' opinions. The multi-attribute decision-making (MADM) problem under a PLTS environment has gained attention from numerous scholars. However, the majority of current studies are not precise enough in capturing information on PLTS. To address this problem, this paper presents a preference ranking organization method for enrichment of evaluations (PROMETHEE) based on the redefined PLTS and novel score function to solve MADM problems under a PLTS environment. First, an asymmetric normalized PLTS based on prospect theory (ANPLTSPT) is developed. Compared with the PLTS, ANPLTSPT offers a more realistic portrayal of decision-makers' psychological state while ensuring the superiority of the PLTS. Second, regarding the structural complexity of ANPLTSPT, this paper attempts to simplify the computational process through a score function that can embody the characteristics of ANPLTSPT. Inspired by previously formulated score functions, a novel score function called Score-InInHe is developed, the corresponding definitions are given, and some further properties are discussed. With the support of the proposed Score-InInHe, the total score entropy is defined and an objective method to determine the attribute weights is proposed. Finally, the proposed approach is applied to the selection of a green supplier and the determination of air quality. The validity and realistic applicability of the proposed approach are demonstrated through comparative analyses and discussions.
Keyword ：
Asymmetric normalized PLTS Asymmetric normalized PLTS MADM MADM PROMETHEE PROMETHEE Prospect theory Prospect theory
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| GB/T 7714 | Zhang, Jiarong , Li, Meijuan , Lu, Jincheng . Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making [J]. | SOFT COMPUTING , 2023 , 27 (15) : 10427-10445 . |
| MLA | Zhang, Jiarong 等. "Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making" . | SOFT COMPUTING 27 . 15 (2023) : 10427-10445 . |
| APA | Zhang, Jiarong , Li, Meijuan , Lu, Jincheng . Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making . | SOFT COMPUTING , 2023 , 27 (15) , 10427-10445 . |
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为综合比较多个多指标对象在某时刻的发展状况和在不同时刻的整体发展态势,构建了基于相对熵距离的动态改进理想解法.该方法在传统理想解法基础上用改进熵值法确定不同时刻的指标权重,通过相对熵计算与理想解的距离避免了欧式距离的一些弊端,并增加考虑正负距离的相对重要性.利用基于波动性和时间度的时间权向量二次加权以推广到动态数据应用场景,最后通过实例验证该方法的可行性.
Keyword ：
动态评价方法 动态评价方法 时间权重 时间权重 理想解法 理想解法 相对熵 相对熵
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| GB/T 7714 | 李美娟 , 刘佳鸿 , 杨隆浩 et al. 基于相对熵距离的动态改进理想解法及其应用研究 [J]. | 系统科学与数学 , 2023 , 43 (1) : 174-185 . |
| MLA | 李美娟 et al. "基于相对熵距离的动态改进理想解法及其应用研究" . | 系统科学与数学 43 . 1 (2023) : 174-185 . |
| APA | 李美娟 , 刘佳鸿 , 杨隆浩 , 胡慧芳 . 基于相对熵距离的动态改进理想解法及其应用研究 . | 系统科学与数学 , 2023 , 43 (1) , 174-185 . |
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Decision-maker (DM) can assign the weights of the distance measures in the relative closeness of technique for order preference by similarity to ideal solution (TOPSIS) for achieving his/her desirable ranking of alternatives. This phenomenon is called strategically setting distance measure weights in this study, which may affect the fairness of the results. In order to prevent this phenomenon, the idea of data envelopment analysis (DEA) is introduced to determine the objective weights of distance measures, and an improved TOPSIS is proposed in this study. The proposed method not only determines weights of the distance measures from an objective perspective and achieves the fully ranking of alternatives, but also provides the directions for improvement. Moreover, in comparison with the other methods, the advantages of the proposed method are analyzed, and the meanings and properties of the new relative closeness are discussed and proved. Finally, an example of evaluating the innovation development of high-tech industries in central and western regions of China is investigated to illustrate the effectiveness and the usefulness of the proposed method.
Keyword ：
data envelopment analysis data envelopment analysis objective perspective objective perspective relative closeness relative closeness TOPSIS TOPSIS
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| GB/T 7714 | Lu, Jin-Cheng , Li, Mei-Juan . An Improved TOPSIS Within the DEA Framework [J]. | ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH , 2023 , 40 (06) . |
| MLA | Lu, Jin-Cheng et al. "An Improved TOPSIS Within the DEA Framework" . | ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH 40 . 06 (2023) . |
| APA | Lu, Jin-Cheng , Li, Mei-Juan . An Improved TOPSIS Within the DEA Framework . | ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH , 2023 , 40 (06) . |
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本文将双前沿面效率评价的思想引入到传统交叉效率模型中,同时,针对双前沿面交叉效率方法中仁慈型和激进型交叉效率策略无法抉择,以及这两种交叉效率策略的应用范围有限的不足,提出了一种新的基于双前沿面的交叉效率方法.该方法的基本思想是选取一个理想决策单元和负理想决策单元,使用被评价决策单元的权重 来计算理想决策单元和负理想决策单元的效率,并使被评价决策单元的效率尽可能接近理想解的效率,同时,尽可能远离负理想解的效率.根据该思想,分别在乐观前沿面和悲观前沿面下求解交叉效率值并进行集结,避免了由于前沿面的选择不同导致的差异以及决策者对仁慈型和激进型交叉效率策略进行抉择的困难.最后,将本文方法与现有方法进行对比分析,并将本文方法应用于我国东部地区10个省(直辖市)的创新效率评价中,以验证方法的有效性.
Keyword ：
交叉效率策略 交叉效率策略 创新效率评价 创新效率评价 双前沿面数据包络分析 双前沿面数据包络分析 数据包络分析 数据包络分析
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| GB/T 7714 | 李美娟 , 卢锦呈 . 一种新的基于双前沿面的交叉效率方法及其应用 [J]. | 中国管理科学 , 2023 , 31 (1) : 168-175 . |
| MLA | 李美娟 et al. "一种新的基于双前沿面的交叉效率方法及其应用" . | 中国管理科学 31 . 1 (2023) : 168-175 . |
| APA | 李美娟 , 卢锦呈 . 一种新的基于双前沿面的交叉效率方法及其应用 . | 中国管理科学 , 2023 , 31 (1) , 168-175 . |
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政府研发资助是全社会研发投入的重要组成部分,特别是对基础研究等基础性、前沿性科研活动的资助是国家科技水平提升的重要动力和源泉。美国联邦政府自二战以来构建的对外研发资助机制对于美国科技实力的快速提升具有重要的推动作用,对我国政府研发资助机制的优化改革具有重要的借鉴意义。那么,美国联邦政府在对外研发资助中如何协调稳定拨款与竞争性项目资助的关系?稳定拨款与竞争性项目资助的具体机制怎样?为回答上述问题,文章以联邦政府对外研发资助的底层预算数据作为分析对象,构建分析框架,运用统计分析、聚类分析和文本分析等方法,基于统一的数据来源与分析框架,识别美国联邦政府研发资助中稳定拨款与竞争性项目资助的关系框架、分析资助机制与特点,进而形成了对美国联邦政府研发资助机制的完整认识。通过分析,发现美国联邦政府对外研发资助具有:(1)联邦政府对外研发资助紧密围绕机构自身的使命定位展开。(2)基于目标,采用与其相匹配的资助机制。(3)实现联邦机构自身的职能与使命的研发活动多采用稳定拨款机制。(4)产生公共产品的研发活动更多依靠竞争性项目资助机制。最后,基于上述结论提出了对我国政府研发资助的相关政策建议。
Keyword ：
数据分析 数据分析 研发资助机制 研发资助机制 稳定与竞争 稳定与竞争 美国联邦政府 美国联邦政府
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| GB/T 7714 | 李美娟 , 李柏村 , 阿儒涵 . 美国联邦政府研发资助的稳定与竞争机制——基于预算数据的研究 [J]. | 科学学研究 , 2023 , 41 (02) : 264-275 . |
| MLA | 李美娟 et al. "美国联邦政府研发资助的稳定与竞争机制——基于预算数据的研究" . | 科学学研究 41 . 02 (2023) : 264-275 . |
| APA | 李美娟 , 李柏村 , 阿儒涵 . 美国联邦政府研发资助的稳定与竞争机制——基于预算数据的研究 . | 科学学研究 , 2023 , 41 (02) , 264-275 . |
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为了比较多个待评价对象在某一时间段内各个时刻和总体优劣水平，需要进行动态评价。针对TOPSIS和灰色关联度法优缺点，加入时间维度，提出考虑决策者偏好的均衡接近度灰关联改进TOPSIS动态评价方法，该方法同时反映了待评价对象与理想方案的位置关系以及数据曲线的相似程度，可以避免局部点关联倾向。可以同时兼顾存量和增量，得到各时刻及该时间段各待评价对象总体评价结果。根据决策者对位置和形状的偏好程度以及存量和增量偏好程度不同，对相应参数取不同值。将该方法应用于2013-2017年期间我国东部地区各省市高质量发展评价以验证本文所提方法的有效性。
Keyword ：
偏好 偏好 动态评价方法 动态评价方法 均衡接近度 均衡接近度 灰色关联度 灰色关联度 高质量发展 高质量发展
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| GB/T 7714 | 徐林明 , 李美娟 , 卢锦呈 . 考虑决策者偏好的均衡接近度灰关联改进 TOPSIS动态评价方法及其应用研究 [J]. | 中国管理科学 , 2023 , 31 (03) : 251-258 . |
| MLA | 徐林明 et al. "考虑决策者偏好的均衡接近度灰关联改进 TOPSIS动态评价方法及其应用研究" . | 中国管理科学 31 . 03 (2023) : 251-258 . |
| APA | 徐林明 , 李美娟 , 卢锦呈 . 考虑决策者偏好的均衡接近度灰关联改进 TOPSIS动态评价方法及其应用研究 . | 中国管理科学 , 2023 , 31 (03) , 251-258 . |
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