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学者姓名：王应明
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The consensus reaching process (CRP) represents a multi-round dynamic method essential for harmonizing the interests of multiple parties. With the rise of instant messaging and social media, the complexity of individual social trust networks and structures. Therefore, it is crucial to explore the inherent value of trust networks in the context of multi-person multi-criteria large-scale decision-making (MpMcLSDM) to facilitate consensus. This paper develops a minimum adjustment consensus model (MACM) for MpMcLSDM based on social trust network analysis (STNA). First, the consistency path rule and personal traits are defined through STNA, leading to a formulated strategy for the completion of the trust relationship. Subsequently, a novel centrality measure, informed by the consistency path rule, is proposed, and a weight method is devised to determine decision-maker (DM) weights and sub-cluster weights after clustering. This paper further elucidates the implications of consensus level fluctuations on DM self-confidence and opinion inclination. Ultimately, a MACM is constructed within the MpMcLSDM framework, integrating opinion dynamics. A numerical example demonstrates the model's effectiveness, and comparisons with other methods show its rationale and improvement in performance.
Keyword ：
Consensus reaching process Consensus reaching process Consistency paths Consistency paths Opinion dynamics Opinion dynamics Social trust network analysis decision-making Social trust network analysis decision-making
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| GB/T 7714 | Wang, Xi-Yu , Wang, Ying-Ming . Minimum adjustment consensus model for multi-person multi-criteria large scale decision-making with trust consistency propagation and opinion dynamics [J]. | INFORMATION FUSION , 2025 , 117 . |
| MLA | Wang, Xi-Yu 等. "Minimum adjustment consensus model for multi-person multi-criteria large scale decision-making with trust consistency propagation and opinion dynamics" . | INFORMATION FUSION 117 (2025) . |
| APA | Wang, Xi-Yu , Wang, Ying-Ming . Minimum adjustment consensus model for multi-person multi-criteria large scale decision-making with trust consistency propagation and opinion dynamics . | INFORMATION FUSION , 2025 , 117 . |
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The efficiency decomposition and frontier projection of traditional two-stage network data envelopment analysis (DEA) model under variable returns to scale (VRS) are often not equivalent; which not only contradicts DEA theory, but also reduces the scientificity of the model. The main reason for this inequivalence is that there is a synergistic effect of variable scale return in two different stages. Therefore, this paper describes the production frontier of two-stage DEA under VRS for analyzing this synergistic effect, and then the efficiency evaluation pitfalls of two-stage DEA under VRS are identified. From the input orientation, output orientation, non- orientation perspectives, different two-stage network DEA models under VRS are respectively constructed to solve these evaluation pitfalls, and the equivalence relationships of their multiplier model and envelopment model are proved; and then the efficiency decomposition and frontier projection with equivalence relationship can be obtained to meet the different needs of decision-makers. Furthermore, variable intermediate element is discussed in the non-orientation model for achieving the Pareto optimality of two stages during the process of efficiency decomposition and frontier projection. By these models, the theoretical foundation of two-stage network DEA under VRS has been further improved. Finally, two examples are provided to illustrate the effectiveness of the new models.
Keyword ：
Data envelopment analysis Data envelopment analysis Efficiency decomposition Efficiency decomposition Equivalence relationship Equivalence relationship Frontier projection Frontier projection Two-stage network Two-stage network Variable returns to scale Variable returns to scale
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| GB/T 7714 | Chen, Lei , Wang, Ying-Ming . Efficiency decomposition and frontier projection of two-stage network DEA under variable returns to scale [J]. | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2025 , 322 (1) : 157-170 . |
| MLA | Chen, Lei 等. "Efficiency decomposition and frontier projection of two-stage network DEA under variable returns to scale" . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 322 . 1 (2025) : 157-170 . |
| APA | Chen, Lei , Wang, Ying-Ming . Efficiency decomposition and frontier projection of two-stage network DEA under variable returns to scale . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2025 , 322 (1) , 157-170 . |
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为有效应对不确定的信息环境,提出 1 种改进失效模式与后果分析(FMEA)的突发事件主要特征分析方法.首先,利用文本挖掘技术充分挖掘突发事件事故报告的文本信息,提取突发事件的不同特征;其次,采用历史案例的事故报告统计各特征的发生度 O和严重度 S,专家利用犹豫模糊语言集定性评估检测度 D,对突发事件不同特征进行综合风险评估,分析突发事件的主要特征;最后,将所提方法应用于瓦斯爆炸事故,并与已有 FMEA方法进行对比分析.研究结果表明:本文所提方法可高效分析突发事件的主要特征,为丰富和拓展 FMEA方法的应用领域及范畴提供参考.
Keyword ：
失效模式与后果分析 失效模式与后果分析 特征分析 特征分析 犹豫模糊语言集 犹豫模糊语言集 突发事件 突发事件
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| GB/T 7714 | 王亮 , 罗洋 , 张自欣 et al. 基于改进FMEA方法的突发事件主要特征分析 [J]. | 中国安全生产科学技术 , 2025 , 21 (3) : 50-57 . |
| MLA | 王亮 et al. "基于改进FMEA方法的突发事件主要特征分析" . | 中国安全生产科学技术 21 . 3 (2025) : 50-57 . |
| APA | 王亮 , 罗洋 , 张自欣 , 王应明 . 基于改进FMEA方法的突发事件主要特征分析 . | 中国安全生产科学技术 , 2025 , 21 (3) , 50-57 . |
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Identifying the critical factors and their interrelationships plays a critical role in system analysis. Fuzzy DEMATEL method is one of the popular techniques widely applied to identify the critical factors and analyze the interrelationship among them under fuzzy and uncertain environment. Different information types are often used to describe given problems in the real world, similar to how experts express their assessments due to their diverse knowledge backgrounds or individual preferences. However, in existing fuzzy DEMATEL studies, experts are allowed to use only a single information type to express their assessments, which cannot reflect the real-world situations. Additionally, dynamic evolution is atypical feature of practical problems. Factors associated with these problems, including critical factors, might change and update alongside this dynamic evolution. Nevertheless, such dynamic evolution has not been considered in existing fuzzy DEMATEL studies. To address the issues of heterogeneous information and dynamic evolution, this study proposes a novel method based on fuzzy DEMATEL that considers both dynamic evolution and heterogeneous information. The dynamic evolution is described not only from the perspective of time changes, but also information updates. The heterogeneous information includes numerical values, interval values, linguistic information, and hesitant fuzzy linguistic term information. The proposed method consists of five parts including problem definition, information gathering, information transformation, information aggregation, and dynamic critical factors identification. A reasonable way based on alpha-level sets is employed to handle the aggregated fuzzy information, and dynamic degrees of different factors at each moment are calculated for critical factors identification. A numerical example, related discussions, and comparison analysis are provided to demonstrate the novelty and superiority of the proposed method.
Keyword ：
Critical factors identification Critical factors identification Dynamic evolution Dynamic evolution Fuzzy DEMATEL Fuzzy DEMATEL Heterogeneous information Heterogeneous information
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| GB/T 7714 | Zhang, Zi-Xin , Wang, Liang , Xie, Xianyu et al. Dynamic critical factors identification: A novel fuzzy DEMATEL method considering heterogeneous information [J]. | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 265 . |
| MLA | Zhang, Zi-Xin et al. "Dynamic critical factors identification: A novel fuzzy DEMATEL method considering heterogeneous information" . | EXPERT SYSTEMS WITH APPLICATIONS 265 (2025) . |
| APA | Zhang, Zi-Xin , Wang, Liang , Xie, Xianyu , Wu, Qinde , Wang, Ying-Ming , Rodriguez, Rosa M. . Dynamic critical factors identification: A novel fuzzy DEMATEL method considering heterogeneous information . | EXPERT SYSTEMS WITH APPLICATIONS , 2025 , 265 . |
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在社会网络环境下的群体决策中,专家在群体中的权重和专家间的信任关系是影响共识达成的关键因素,但在许多研究中信任关系是不变的且专家权重仅由信任关系确定,因此创新地提出一种考虑专家社会影响力与信任演化的群体共识决策方法,有效促进群体共识的达成.首先,使用信任传播与聚合方法将不完整的社会信任矩阵转化为完整的社会信任矩阵,随后,根据专家的加性偏好关系和社会信任矩阵获得专家的社会影响力,进而,得出专家权重.然后,以各专家的最优方案是否得到采纳以及专家方案排序向量与群体方案排序向量间的差异为依据建立信任演化模型,并根据信任演化模型提出考虑信任演化的共识达成过程.再通过仿真模拟的方法求出社会影响力中各指标的权重系数,并对提出的共识达成方法进行可行性验证,论证所提模型的合理性与有效性.最后,通过一个算例以呈现文章方法的详细求解过程,进一步论证模型的可行性与有效性.
Keyword ：
信任演化 信任演化 共识达成 共识达成 社会影响力 社会影响力 社会网络群体决策 社会网络群体决策
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| GB/T 7714 | 刘伟 , 王应明 . 考虑专家社会影响力与信任演化的社会网络群体共识决策方法 [J]. | 系统科学与数学 , 2025 , 45 (2) : 433-455 . |
| MLA | 刘伟 et al. "考虑专家社会影响力与信任演化的社会网络群体共识决策方法" . | 系统科学与数学 45 . 2 (2025) : 433-455 . |
| APA | 刘伟 , 王应明 . 考虑专家社会影响力与信任演化的社会网络群体共识决策方法 . | 系统科学与数学 , 2025 , 45 (2) , 433-455 . |
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The emergence and popularity of social media have made large-scale group decision-making (LSGDM) problems increasingly common, resulting in significant research interest in this field. LSGDM involves numerous evaluators, which can lead to disagreements and hesitancy among them. Hesitant fuzzy sets (HFSs) become crucial in this context as they capture the uncertainty and hesitancy among evaluators. On the other hand, research on the Consensus Reaching Process (CRP) becomes particularly important in dealing with the inevitable differences among the great number of evaluators. Ways to mitigate these differences to reach an agreement are a crucial area of study. For this reason, this paper presents a new CRP model to deal with LSGDM problems in hesitant fuzzy environments. First, HFSs and Normal-type Hesitant Fuzzy Sets (N-HFSs) are introduced to integrate evaluators' subgroup and collective opinions, aiming to preserve as much decision information as possible while reducing computational complexity. Subsequently, a CRP with a detailed feedback suggestion generation mechanism is developed, which considers the willingness of evaluators to modify their opinions, thereby improving the effectiveness of reaching an agreement. Finally, a LSGDM framework that does not require any normalization process is proposed, and its feasibility and robustness are demonstrated through a numerical example.
Keyword ：
consensus reaching process consensus reaching process hesitant fuzzy set hesitant fuzzy set large-scale group decision making large-scale group decision making multiple criteria decision making multiple criteria decision making
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| GB/T 7714 | Liang, Wei , Labella, Alvaro , Meng, Meng-Jun et al. Hesitant Fuzzy Consensus Reaching Process for Large-Scale Group Decision-Making Methods [J]. | MATHEMATICS , 2025 , 13 (7) . |
| MLA | Liang, Wei et al. "Hesitant Fuzzy Consensus Reaching Process for Large-Scale Group Decision-Making Methods" . | MATHEMATICS 13 . 7 (2025) . |
| APA | Liang, Wei , Labella, Alvaro , Meng, Meng-Jun , Wang, Ying-Ming , Rodriguez, Rosa M. . Hesitant Fuzzy Consensus Reaching Process for Large-Scale Group Decision-Making Methods . | MATHEMATICS , 2025 , 13 (7) . |
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Group decision-making (GDM) is essential as it recognizes the inherent complexity of many decision scenarios, which frequently require the collective wisdom and knowledge of multiple decision-makers (DMs) to be effectively resolved. The proposed method aims to develop fuzzy data envelopment analysis (DEA) cross-efficiency models tailored to address GDM challenges, wherein attribute values are provided by DMs using hesitant fuzzy linguistic term sets (HFLTSs). For this purpose, we initially transform HFLTSs into their corresponding fuzzy envelopes, defined as trapezoidal fuzzy numbers (TrFNs). This conversion strategy effectively minimizes the loss in assessments based on HFLTSs while retaining the inherent ambiguity of the original information. Building upon this foundation, we develop fuzzy cross-efficiency models by leveraging the α-level sets of fuzzy envelopes. These models are designed to handle fuzzy input and output variables under various α-level sets, which are capable of considering all possible attribute values for each alternative. Following this, we implement a maximum consensus model using fuzzy cross-efficiency to assign weights to DMs. These weights facilitate the aggregation of individual fuzzy cross-efficiency intervals obtained from DMs’ assessments into collective ones, which serve to rank alternatives. Finally, we showcase the effectiveness and superiority of our proposal through numerical validation and comparative analysis. © 2024
Keyword ：
Data encapsulation Data encapsulation Data envelopment analysis Data envelopment analysis Fuzzy sets Fuzzy sets
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| GB/T 7714 | Song, Hui-Hui , Wang, Ying-Ming , Martínez, Luis . Enhancing group decision-making: Maximum consensus aggregation for fuzzy cross-efficiency under hesitant fuzzy linguistic information [J]. | Computers and Industrial Engineering , 2024 , 197 . |
| MLA | Song, Hui-Hui et al. "Enhancing group decision-making: Maximum consensus aggregation for fuzzy cross-efficiency under hesitant fuzzy linguistic information" . | Computers and Industrial Engineering 197 (2024) . |
| APA | Song, Hui-Hui , Wang, Ying-Ming , Martínez, Luis . Enhancing group decision-making: Maximum consensus aggregation for fuzzy cross-efficiency under hesitant fuzzy linguistic information . | Computers and Industrial Engineering , 2024 , 197 . |
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This study presents a novel group Three-Way Decision (TWD) method that effectively addresses decision-making problems characterized by interval-valued uncertain information by integrating regret theory and the Consensus Reaching Process (CRP) model. The proposed method explores several key principles derived from regret theory to transform the loss functions into regret theory-based interval-valued loss functions. Additionally, improvements are made to the TOPSIS method for calculating conditional probabilities of alternatives under an interval-valued uncertain environment. Subsequently, several novel interval-valued TWD rules are established to classify alternatives into three predefined decision regions without the requirements for information transformation. Moreover, a personalized CRP model is developed based on the classification results, assisting experts with low consensus in revising their opinions to achieve the desired consensus. To assess the effectiveness of the proposed method, an illustrative example is presented, accompanied by comparative and sensitivity analyses that highlight its advantages and robustness. The results emphasize the innovative perspective and methodology provided by the proposed method for effectively addressing practical decision problems in uncertain and risk-laden environments. IEEE
Keyword ：
consensus reaching process consensus reaching process Decision making Decision making Fuzzy sets Fuzzy sets Fuzzy systems Fuzzy systems Group decision making Group decision making Indexes Indexes interval-valued uncertain information interval-valued uncertain information Linguistics Linguistics Probabilistic logic Probabilistic logic regret theory regret theory three-way decision three-way decision Uncertainty Uncertainty
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| GB/T 7714 | Pan, X. , He, S. , Wang, Y. . A Novel Group Three-Way Decision Method Integrating Regret Theory and Consensus Reaching Process for Decision-Making Problems with Interval-Valued Uncertain Information [J]. | IEEE Transactions on Fuzzy Systems , 2024 , 32 (9) : 1-15 . |
| MLA | Pan, X. et al. "A Novel Group Three-Way Decision Method Integrating Regret Theory and Consensus Reaching Process for Decision-Making Problems with Interval-Valued Uncertain Information" . | IEEE Transactions on Fuzzy Systems 32 . 9 (2024) : 1-15 . |
| APA | Pan, X. , He, S. , Wang, Y. . A Novel Group Three-Way Decision Method Integrating Regret Theory and Consensus Reaching Process for Decision-Making Problems with Interval-Valued Uncertain Information . | IEEE Transactions on Fuzzy Systems , 2024 , 32 (9) , 1-15 . |
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The surge of social media has made large-scale group decision-making (LSGDM) crucial in real-world decision-making. The intricacies of trust relationships within social networks that emerged from relations in social media affect both the clustering and the consensus of large groups. However, existing research often neglects the impact of overlapping social trust networks on group consensus. To fill this gap, this study introduces a novel consensus-reaching process (CRP) that integrates overlapping community detection and ELICIT-based optimization models under bounded confidence. Initially, the Lancichinetti-Fortunato method (LFM) is employed to identify overlapping community structures within social trust networks, delineating several subgroups and identifying corresponding non-overlapping and overlapping decision-makers (DMs). Subsequently, the PageRank (PR) algorithm is utilized to compute both global and local weights for individuals, facilitating a rational aggregation of collective and subgroup opinions. Next, two-stage Extended Comparative Linguistic Expressions With Symbolic Translation (ELICIT)-based optimization consensus models under bounded confidence are designed, aiming to provide optimal feedback for guiding DMs' preference adjustments. Since overlapping DMs may belong to multiple subgroups, a weighted influence feedback mechanism is introduced to mitigate conflicting guidance from these multiple affiliations. Finally, we demonstrate the effectiveness and superiority of our proposed method through numerical validation and comparative analysis against existing approaches. © 2024 Elsevier Inc.
Keyword ：
Decision making Decision making Feedback control Feedback control Numerical methods Numerical methods Population dynamics Population dynamics Social networking (online) Social networking (online)
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| GB/T 7714 | Wang, Ying-Ming , Song, Hui-Hui , Dutta, Bapi et al. Consensus reaching in LSGDM: Overlapping community detection and bounded confidence-driven feedback mechanism [J]. | Information Sciences , 2024 , 679 . |
| MLA | Wang, Ying-Ming et al. "Consensus reaching in LSGDM: Overlapping community detection and bounded confidence-driven feedback mechanism" . | Information Sciences 679 (2024) . |
| APA | Wang, Ying-Ming , Song, Hui-Hui , Dutta, Bapi , García-Zamora, Diego , Martínez, Luis . Consensus reaching in LSGDM: Overlapping community detection and bounded confidence-driven feedback mechanism . | Information Sciences , 2024 , 679 . |
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According to management by objectives (MBO) theory, the significance of management objectives must be considered as a reference point in a performance evaluation. Cross efficiency evaluation has always been considered to be one of the important performance evaluation methods. However, few studies to date have considered the impact of management objectives on cross efficiency. According to prospect theory, the choice of reference point will cause irrational psychology in decision makers. A management objective is a natural reference point, which will cause a ‘gain and loss’ psychology in enterprises and may create irrational psychology. Performance level is an important index by which to evaluate resource allocation, which in turn can be regarded as an important enterprise management objective. This paper proposes a cross efficiency evaluation method based on performance level. Cross efficiency evaluation models are constructed, based on the irrational psychology that occurs under organization objectives, personal objectives and composite objectives. This method not only considers the bounded rational behavior of enterprises, but is also more flexible. A numerical example is given to illustrate the application of the bounded rational cross efficiency evaluation method in data envelopment analysis (DEA) ranking. © The Author(s) 2024.
Keyword ：
Bounded rationality Bounded rationality Cross efficiency evaluation Cross efficiency evaluation Data envelopment analysis (DEA) Data envelopment analysis (DEA) Performance level Performance level Prospect theory Prospect theory
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| GB/T 7714 | Shi, H.-L. , Wang, Y.-M. , Zhang, X.-M. . Cross-Efficiency Evaluation Method with Performance Level as a Management Objective in Consideration of Bounded Rationality [J]. | International Journal of Computational Intelligence Systems , 2024 , 17 (1) . |
| MLA | Shi, H.-L. et al. "Cross-Efficiency Evaluation Method with Performance Level as a Management Objective in Consideration of Bounded Rationality" . | International Journal of Computational Intelligence Systems 17 . 1 (2024) . |
| APA | Shi, H.-L. , Wang, Y.-M. , Zhang, X.-M. . Cross-Efficiency Evaluation Method with Performance Level as a Management Objective in Consideration of Bounded Rationality . | International Journal of Computational Intelligence Systems , 2024 , 17 (1) . |
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