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学者姓名：王应明
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Abstract ：
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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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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在多准则分类问题中,一个关键问题是考虑决策者的偏好,这直接影响到分类结果.它可以使分类结果更符合现实情况,得到的分类结果更令决策者满意.因此,在现有VIKORSort方法的基础上,文章提出了一种考虑决策者偏好的D-VIKORSort方法.首先,从决策过程出发,给出不同优势度的概念,并讨论决策者的优势度偏好.其次,选择VIKOR方法来说明不同的优势度.将群体效用值和个体遗憾值视作局部优势度,而将折衷值视作全局优势度.令决策者对全局优势度的偏好为D,通过该偏好将不同优势度进行集结转化为调和优势度.然后,定义了调和优势度及其计算公式,并用于备选方案分类.随后,给出文章所提出分类方法的具体算法.最后,为了说明所提方法的优越性和新颖性,将文章所提方法应用于两个实例,并将文章方法结果与已有研究方法结果进行对比分析.
Keyword ：
VIKORSort VIKORSort 优势度 优势度 决策者偏好 决策者偏好 多准则分类 多准则分类
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| GB/T 7714 | 王亮 , 郭瑞鸿 , 王应明 . 考虑决策者偏好的D-VIKORSort方法 [J]. | 系统科学与数学 , 2025 , 45 (07) : 2263-2275 . |
| MLA | 王亮 et al. "考虑决策者偏好的D-VIKORSort方法" . | 系统科学与数学 45 . 07 (2025) : 2263-2275 . |
| APA | 王亮 , 郭瑞鸿 , 王应明 . 考虑决策者偏好的D-VIKORSort方法 . | 系统科学与数学 , 2025 , 45 (07) , 2263-2275 . |
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针对现有群体多准则分类研究没有考虑专家的行为特征和参考轮廓共识达成复杂且耗时的问题,本文提出了一种新的群体多准则分类方法.首先,利用犹豫模糊集和犹豫模糊语言术语集刻画专家给出参考轮廓时的犹豫行为;接着,在考虑不同专家不同调整量的基础上使用基于数学规划的方法对参考轮廓达成共识;然后,利用前景理论刻画专家的有限理性行为,根据备选方案相较于群体参考轮廓的综合前景价值确定类别;最后,将本文方法应用于具体案例,通过对比分析验证了本文方法的有效性与优越性.本文方法考虑了分类过程中专家的行为特征,更接近分类问题的实际情况;另外,使用达成共识的参考轮廓进行分类,有助于得到更加合理可靠的分类结果.
Keyword ：
有限理性行为 有限理性行为 犹豫行为 犹豫行为 群体共识 群体共识 群体多准则分类 群体多准则分类
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| GB/T 7714 | 王亮 , 杨颜青 , 王应明 . 一种考虑行为特征的群体多准则分类方法 [J]. | 电子科技大学学报（社会科学版） , 2025 , 27 (2) : 82-94 . |
| MLA | 王亮 et al. "一种考虑行为特征的群体多准则分类方法" . | 电子科技大学学报（社会科学版） 27 . 2 (2025) : 82-94 . |
| APA | 王亮 , 杨颜青 , 王应明 . 一种考虑行为特征的群体多准则分类方法 . | 电子科技大学学报（社会科学版） , 2025 , 27 (2) , 82-94 . |
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Abstract ：
针对现有群体多准则分类研究没有考虑专家的行为特征和参考轮廓共识达成复杂且耗时的问题，本文提出了一种新的群体多准则分类方法。首先，利用犹豫模糊集和犹豫模糊语言术语集刻画专家给出参考轮廓时的犹豫行为；接着，在考虑不同专家不同调整量的基础上使用基于数学规划的方法对参考轮廓达成共识；然后，利用前景理论刻画专家的有限理性行为，根据备选方案相较于群体参考轮廓的综合前景价值确定类别；最后，将本文方法应用于具体案例，通过对比分析验证了本文方法的有效性与优越性。本文方法考虑了分类过程中专家的行为特征，更接近分类问题的实际情况；另外，使用达成共识的参考轮廓进行分类，有助于得到更加合理可靠的分类结果。
Keyword ：
有限理性行为 有限理性行为 犹豫行为 犹豫行为 群体共识 群体共识 群体多准则分类 群体多准则分类
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| GB/T 7714 | 王亮 , 杨颜青 , 王应明 . 一种考虑行为特征的群体多准则分类方法 [J]. | 电子科技大学学报(社科版) , 2025 , 27 (02) : 82-94 . |
| MLA | 王亮 et al. "一种考虑行为特征的群体多准则分类方法" . | 电子科技大学学报(社科版) 27 . 02 (2025) : 82-94 . |
| APA | 王亮 , 杨颜青 , 王应明 . 一种考虑行为特征的群体多准则分类方法 . | 电子科技大学学报(社科版) , 2025 , 27 (02) , 82-94 . |
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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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Cross-efficiency evaluation (CEE) is an effective tool for ranking decision-making units (DMUs). The traditional data envelopment analysis (DEA) model employs self-evaluation to measure the performance of DMUs. CEE, as an extension of the DEA, includes self-evaluation and peer-evaluation, assessing the overall performance of each DMU through its own weights and the weights of all DMUs. The current CEE, however, aggregates self-evaluation and peer-evaluation efficiencies mostly via the arithmetic average, which underestimates the importance of self-evaluation and ignores the subjective preferences of decision-makers as well. To address this deficiency, considering the fairness mentality of decision-makers, this paper first introduces the regret theory to depict the regret aversion of decision-makers, and proposes the fair regret cross-efficiency aggregation (FRCEA) method (Method 1). Then the upper and lower limits of the fair regret interval cross-efficiency (FRICE) are calculated, and parameters reflecting the preferences of decision-makers are introduced. Next, this paper puts forth a consensus cross-efficiency aggregation (CCEA) method (Method 2) based on the efficiency expectations of DMUs and the actual aggregation results. By creating a fair evaluation environment, this paper aims to enable all DMUs to participate in the efficiency evaluation and accept the results, reaching a final consensus. Finally, the effectiveness and rationality of the methods above are verified after evaluating the academic research efficiencies of 13 prestigious universities in China.
Keyword ：
Cross-efficiency evaluation Cross-efficiency evaluation Data envelopment analysis Data envelopment analysis Fairness mentality Fairness mentality Group consensus Group consensus Regret theory Regret theory
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| GB/T 7714 | Zhang, Xing-Xian , Chen, Lei , Wang, Xu et al. A new cross-efficiency aggregation in data envelopment analysis: considering fairness mentality and group consensus [J]. | OPERATIONAL RESEARCH , 2025 , 25 (2) . |
| MLA | Zhang, Xing-Xian et al. "A new cross-efficiency aggregation in data envelopment analysis: considering fairness mentality and group consensus" . | OPERATIONAL RESEARCH 25 . 2 (2025) . |
| APA | Zhang, Xing-Xian , Chen, Lei , Wang, Xu , Zuo, Wenjin , Liu, Lijun , Wang, Ying-Ming . A new cross-efficiency aggregation in data envelopment analysis: considering fairness mentality and group consensus . | OPERATIONAL RESEARCH , 2025 , 25 (2) . |
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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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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 et al. "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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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 et al. "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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