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学者姓名:李美娟

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Inverse DEA based resource allocation method for nonhomogeneous decision-making units SCIE SSCI
期刊论文 | 2024 , 75 (12) , 2464-2483 | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
WoS CC Cited Count: 4
Abstract&Keyword Cite Version(2)

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 , 75 (12) : 2464-2483 .
MLA Lu, Jin-Cheng 等. "Inverse DEA based resource allocation method for nonhomogeneous decision-making units" . | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 75 . 12 (2024) : 2464-2483 .
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 , 75 (12) , 2464-2483 .
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Inverse DEA based resource allocation method for nonhomogeneous decision-making units EI
期刊论文 | 2024 , 75 (12) , 2464-2483 | Journal of the Operational Research Society
Inverse DEA based resource allocation method for nonhomogeneous decision-making units Scopus
期刊论文 | 2024 , 75 (12) , 2464-2483 | Journal of the Operational Research Society
Inverse data envelopment analysis with production trade-offs SCIE
期刊论文 | 2024 , 58 (1) , 557-577 | RAIRO-OPERATIONS RESEARCH
Abstract&Keyword Cite Version(2)

Abstract :

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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INVERSE DATA ENVELOPMENT ANALYSIS WITH PRODUCTION TRADE-OFFS Scopus
期刊论文 | 2024 , 58 (1) , 557-577 | RAIRO - Operations Research
INVERSE DATA ENVELOPMENT ANALYSIS WITH PRODUCTION TRADE-OFFS EI
期刊论文 | 2024 , 58 (1) , 557-577 | RAIRO - Operations Research
Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game Scopus
期刊论文 | 2024 , 206 | Technological Forecasting and Social Change
SCOPUS Cited Count: 11
Abstract&Keyword Cite Version(2)

Abstract :

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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Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game SSCI
期刊论文 | 2024 , 206 | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game EI
期刊论文 | 2024 , 206 | Technological Forecasting and Social Change
Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity SCIE
期刊论文 | 2023 , 13 (3) , 464-487 | GREY SYSTEMS-THEORY AND APPLICATION
WoS CC Cited Count: 2
Abstract&Keyword Cite Version(2)

Abstract :

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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Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity EI
期刊论文 | 2023 , 13 (3) , 464-487 | Grey Systems
Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity Scopus
期刊论文 | 2023 , 13 (3) , 464-487 | Grey Systems
An Improved TOPSIS Within the DEA Framework SCIE
期刊论文 | 2023 , 40 (06) | ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
Abstract&Keyword Cite Version(2)

Abstract :

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 等. "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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An Improved TOPSIS Within the DEA Framework Scopus
期刊论文 | 2023 , 40 (6) | Asia-Pacific Journal of Operational Research
An Improved TOPSIS Within the DEA Framework EI
期刊论文 | 2023 , 40 (6) | Asia-Pacific Journal of Operational Research
一种新的基于双前沿面的交叉效率方法及其应用 CSSCI CSCD PKU
期刊论文 | 2023 , 31 (1) , 168-175 | 中国管理科学
Abstract&Keyword Cite Version(2)

Abstract :

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 等. "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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一种新的基于双前沿面的交叉效率方法及其应用 CSSCI CSCD PKU
期刊论文 | 2023 , 31 (01) , 168-175 | 中国管理科学
一种新的基于双前沿面的交叉效率方法及其应用 CSSCI CSCD PKU
期刊论文 | 2023 , 31 (01) , 168-175 | 中国管理科学
Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making SCIE
期刊论文 | 2023 , 27 (15) , 10427-10445 | SOFT COMPUTING
WoS CC Cited Count: 2
Abstract&Keyword Cite Version(2)

Abstract :

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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Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making EI
期刊论文 | 2023 , 27 (15) , 10427-10445 | Soft Computing
Asymmetric normalized probabilistic linguistic term set based on prospect theory and its application to multi-attribute decision-making Scopus
期刊论文 | 2023 , 27 (15) , 10427-10445 | Soft Computing
基于相对熵距离的动态改进理想解法及其应用研究 CSCD PKU
期刊论文 | 2023 , 43 (1) , 174-185 | 系统科学与数学
Abstract&Keyword Cite Version(2)

Abstract :

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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基于相对熵距离的动态改进理想解法及其应用研究 CSCD PKU
期刊论文 | 2023 , 43 (01) , 174-185 | 系统科学与数学
基于相对熵距离的动态改进理想解法及其应用研究 CSCD PKU
期刊论文 | 2023 , 43 (01) , 174-185 | 系统科学与数学
基于逆DEA的两阶段生产结构环境资源优化配置方法 CSSCI CSCD PKU
期刊论文 | 2023 , 43 (10) , 3007-3025 | 系统工程理论与实践
Abstract&Keyword Cite Version(1)

Abstract :

文章针对现有逆DEA方法无法处理包含非期望产出的两阶段生产系统的资源优化配置的问题,提出了包含非期望产出的两阶段生产系统环境资源优化配置方法,以分析各子系统内的资源优化配置问题.在此基础上,放松了生产前沿面不发生变化的约束,进一步提出了考虑前沿面变化和包含非期望产出的两阶段生产系统环境资源优化配置方法,以分析两阶段生产系统未来的资源优化配置问题.两种方法相互补充,打开了两阶段生产系统复杂内部结构的“黑箱”,能够获取更加全面和准确的决策信息,为决策者合理配置资源和制定发展目标与规划提供有力的支持工具.最后,对我国各省、自治区、直辖市的工业生产系统中的经济发展子系统和环境保护子系统的资源优化配置问题进行分析,以验证方法的合理性和有效性.

Keyword :

两阶段生产系统 两阶段生产系统 资源优化配置 资源优化配置 逆DEA 逆DEA 非期望产出 非期望产出

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GB/T 7714 卢锦呈 , 李美娟 . 基于逆DEA的两阶段生产结构环境资源优化配置方法 [J]. | 系统工程理论与实践 , 2023 , 43 (10) : 3007-3025 .
MLA 卢锦呈 et al. "基于逆DEA的两阶段生产结构环境资源优化配置方法" . | 系统工程理论与实践 43 . 10 (2023) : 3007-3025 .
APA 卢锦呈 , 李美娟 . 基于逆DEA的两阶段生产结构环境资源优化配置方法 . | 系统工程理论与实践 , 2023 , 43 (10) , 3007-3025 .
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基于逆DEA的两阶段生产结构环境资源优化配置方法 CSSCI CSCD PKU
期刊论文 | 2023 , 43 (10) , 3007-3023 | 系统工程理论与实践
Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation SCIE
期刊论文 | 2023 , 650 | INFORMATION SCIENCES
WoS CC Cited Count: 2
Abstract&Keyword Cite Version(2)

Abstract :

Multi-granularity probabilistic linguistic Z-number (PLZN) is an effective and flexible tool for expressing expert opinions. For group decision-making (GDM) problems with multi-granularity PLZN preference relations (PLZNPRs), this paper proposes a GDM method based on data envelopment analysis cross-evaluation (DEA-CE) model and expert credibility. First, as the foundation for solving GDM problems with multi-granularity PLZNPRs, this paper reveals the inadequacies of existing methods on transformation and comparison between multi-granularity PLZNs through arithmetic examples. After analyzing these inadequacies, this paper proposes the novel transformation and comparison methods with better performances. Second, to obtain the priorities of multi-granularity PLZNPRs more efficiently, DEA-CE model is introduced and the effectiveness of introducing DEA-CE model is demonstrated. The superiority of introducing DEA-CE model is that it requires no further adjustment of preference relations at any consistency level, which helps to maximize the retention of original information. Third, the subjective expert weights determined based on realistic situations are objectively adjusted using the expert credibility calculated according to the information quality, making the results more reasonable. Finally, this paper illustrates by two case examples that the proposed model can be well adapted to GDM problems with all sizes, regardless of the numbers of decision variables and experts.

Keyword :

Data envelopment analysis Data envelopment analysis Expert credibility Expert credibility Group decision-making Group decision-making Multi-granularity linguistic term Multi-granularity linguistic term Probabilistic linguistic Z-number Probabilistic linguistic Z-number

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GB/T 7714 Zhang, Jiarong , Li, Meijuan . Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation [J]. | INFORMATION SCIENCES , 2023 , 650 .
MLA Zhang, Jiarong et al. "Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation" . | INFORMATION SCIENCES 650 (2023) .
APA Zhang, Jiarong , Li, Meijuan . Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation . | INFORMATION SCIENCES , 2023 , 650 .
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Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation Scopus
期刊论文 | 2023 , 650 | Information Sciences
Group decision-making method based on expert credibility with multi-granularity probabilistic linguistic Z-number preference relation EI
期刊论文 | 2023 , 650 | Information Sciences
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