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学者姓名：王应明
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Abstract ：
扩展置信规则库(EBRB)中的规则数量和参数取值共同影响EBRB推理模型的决策准确性和计算效率.基于此,提出一种基于规则聚类和参数学习的改进EBRB推理模型,称为RCPL-EBRB模型.所提出模型的基本原理如下:首先,依据密度聚类分析对EBRB进行规则聚类来识别EBRB中无效的扩展置信规则和优化传统EBRB的建模过程;然后,以聚类所得到的规则簇(即Sub-EBRB)进行参数学习和规则推理,保证激活规则集合的一致性,从而提高RCPL-EBRB模型的决策准确性和计算效率;最后,引入非线性函数拟合和基准分类问题数据集开展模型的有效性检验和参数灵敏度分析.实验结果表明,所提出RCPL-EBRB模型比现有EBRB推理模型和传统机器学习方法具有更高的决策准确性.
Keyword ：
参数学习 参数学习 建模 建模 扩展置信规则库 扩展置信规则库 灵敏度分析 灵敏度分析 规则约减 规则约减 规则聚类 规则聚类
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| GB/T 7714 | 杨隆浩 , 陈江鸿 , 叶菲菲 et al. 基于规则聚类和参数学习的扩展置信规则库推理模型 [J]. | 控制与决策 , 2024 , 39 (08) : 2685-2693 . |
| MLA | 杨隆浩 et al. "基于规则聚类和参数学习的扩展置信规则库推理模型" . | 控制与决策 39 . 08 (2024) : 2685-2693 . |
| APA | 杨隆浩 , 陈江鸿 , 叶菲菲 , 王应明 . 基于规则聚类和参数学习的扩展置信规则库推理模型 . | 控制与决策 , 2024 , 39 (08) , 2685-2693 . |
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Abstract ：
Efficiency is a relative measure that allows assessment across different ranges. Evaluating the performance of decision-making units (DMUs) from an optimistic perspective yields the best relative efficiency (optimistic efficiency), which establishes an efficiency frontier. Conversely, evaluating from a pessimistic perspective produces the worst relative efficiency (pessimistic efficiency) and creates an inefficiency frontier. This study examines the efficiency of DMUs in two scenarios and proposes models for adjustment coefficient. The pessimistic and optimistic efficiencies are adjusted to the lower and upper bounds of the DMUs based on the adjustment coefficient, enabling determination of efficiency intervals for all DMUs, as well as evaluation and ranking. A Hurwicz criterion-based approach is introduced and applied to compare and rank the interval efficiencies of DMUs. Two numerical examples are examined using the proposed DEA adjustment coefficient models to demonstrate its potential application and validity.
Keyword ：
adjustment coefficient model adjustment coefficient model Data envelopment analysis Data envelopment analysis interval efficiency interval efficiency ranking ranking
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| GB/T 7714 | Zhang, Xing-Xian , Liu, Wenli , Wang, Xu et al. Ranking DMUs by using interval efficiencies in data envelopment analysis [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (3) : 5609-5621 . |
| MLA | Zhang, Xing-Xian et al. "Ranking DMUs by using interval efficiencies in data envelopment analysis" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 46 . 3 (2024) : 5609-5621 . |
| APA | Zhang, Xing-Xian , Liu, Wenli , Wang, Xu , Zuo, Wenjin , Wang, Ying-Ming , Sun, Licheng . Ranking DMUs by using interval efficiencies in data envelopment analysis . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2024 , 46 (3) , 5609-5621 . |
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Greenhouse gas emissions are widely recognized as the primary cause of global warming, leading to a growing attention on carbon emission management. However, the existing studies still failed to propose a feasible approach to directly forecast carbon emission trends and also did not take into account both environmental regulation and efficiency improvement. Hence, this study aims to propose a novel carbon emission trend forecast model based on data-driven rule-base with considering the intensity coefficient of environmental regulation and the management efficiency of carbon emissions. Carbon emission data of 30 Chinese provinces are collected to illustrate the effectiveness of the proposed model. Results indicated that: 1) the data-driven rule-base model is able to directly forecast carbon emission trends within range from -18.54 % to 19.18 %; 2) by integrating regulation intensity, the predicted results of the model have smaller carbon emission tends, e.g., decrease of average changing rate from 0.4100 to 0.2762; 3) by further integrating efficiency improvement, the predicted results align more with the expected objectives of policy makers, i.e., the average carbon emission efficiency approximates 0.8920 and the number of provinces being effective efficiency is increased to 8. These findings also highlighted the importance of carbon emission tend forecast with environmental regulation and efficiency improvement. The proposed carbon emission trend forecast model could serve as an alternative tool for achieving dual carbon goals in the context of China.
Keyword ：
Carbon emission trend Carbon emission trend Data -driven rule -base Data -driven rule -base Efficiency improvement Efficiency improvement Environment regulation Environment regulation Forecast Forecast
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| GB/T 7714 | Yang, Long-Hao , Ye, Fei-Fei , Hu, Haibo et al. A data-driven rule-base approach for carbon emission trend forecast with environmental regulation and efficiency improvement [J]. | SUSTAINABLE PRODUCTION AND CONSUMPTION , 2024 , 45 : 316-332 . |
| MLA | Yang, Long-Hao et al. "A data-driven rule-base approach for carbon emission trend forecast with environmental regulation and efficiency improvement" . | SUSTAINABLE PRODUCTION AND CONSUMPTION 45 (2024) : 316-332 . |
| APA | Yang, Long-Hao , Ye, Fei-Fei , Hu, Haibo , Lu, Haitian , Wang, Ying-Ming , Chang, Wen -Jun . A data-driven rule-base approach for carbon emission trend forecast with environmental regulation and efficiency improvement . | SUSTAINABLE PRODUCTION AND CONSUMPTION , 2024 , 45 , 316-332 . |
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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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Abstract ：
针对属性值为毕达哥拉斯模糊集且专家权重和属性权重均完全未知的多属性群决策问题，提出了结合前景理论和灰色均衡接近度的多属性决策方法。考虑到毕达哥拉斯模糊集表达犹豫度的优势和群体决策的特点，给出了一种新的专家权重计算方法，并利用离差最大化法求出属性权重；运用正、负理想方案作为决策参考点，基于前景理论和灰色均衡接近度计算毕达哥拉斯模糊环境下的前景价值函数，最终获得各方案的收益损失比，以此确定方案的优劣排序。通过实例分析和方法对比，验证了此方法的有效性和合理性。
Keyword ：
前景理论 前景理论 均衡接近度 均衡接近度 毕达哥拉斯模糊集 毕达哥拉斯模糊集 群体决策 群体决策
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| GB/T 7714 | 张柏栋 , 王应明 . 基于前景理论和均衡接近度的毕达哥拉斯群决策方法 [J]. | 计算机与数字工程 , 2024 , 52 (05) : 1341-1347 . |
| MLA | 张柏栋 et al. "基于前景理论和均衡接近度的毕达哥拉斯群决策方法" . | 计算机与数字工程 52 . 05 (2024) : 1341-1347 . |
| APA | 张柏栋 , 王应明 . 基于前景理论和均衡接近度的毕达哥拉斯群决策方法 . | 计算机与数字工程 , 2024 , 52 (05) , 1341-1347 . |
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为从历史化工事故中吸取经验教训以指导化工安全生产管理实践，提出基于文本挖掘和改进决策实验室分析法(DEMATEL)的化工事故关键因素识别方法。首先，利用文本挖掘技术充分挖掘1 627份化工事故调查报告的文本信息，结合相关文献及法律法规提取14项化工事故影响因素；然后，使用基于α水平集的模糊DEMATEL法计算化工事故影响因素表现水平，识别出关键因素；最后，分析关键因素与其他因素之间的相互关联性并揭示化工事故产生机制。结果表明：8项化工事故因素被识别为关键因素，分别是极端天气、规章制度、技术规程、隐患排查、风险管控、教育培训、监督管理、经营管理；同时，8项关键因素对设施设备、物料反应、职业素养、岗位职责、应急管理、安全投入等影响因素产生直接影响，最终导致化工事故发生。
Keyword ：
α水平集 α水平集 关键因素识别 关键因素识别 决策实验室分析法(DEMATEL) 决策实验室分析法(DEMATEL) 化工事故 化工事故 文本挖掘 文本挖掘
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| GB/T 7714 | 王亮 , 赖佳燕 , 张自欣 et al. 基于文本挖掘和改进DEMATEL法的化工事故关键因素识别 [J]. | 中国安全科学学报 , 2024 , 34 (03) : 20-28 . |
| MLA | 王亮 et al. "基于文本挖掘和改进DEMATEL法的化工事故关键因素识别" . | 中国安全科学学报 34 . 03 (2024) : 20-28 . |
| APA | 王亮 , 赖佳燕 , 张自欣 , 王应明 . 基于文本挖掘和改进DEMATEL法的化工事故关键因素识别 . | 中国安全科学学报 , 2024 , 34 (03) , 20-28 . |
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随着决策面临的环境越来越复杂,个人决策因其局限性难以达到有效决策的标准,致使群体决策变得更为常见;而当决策者行动时,常需考虑他人的判断和行为,使得从众行为成为群体决策中的重要影响因素.因此,文章基于模糊偏好关系提出一种考虑从众行为的群体共识决策方法,能有效节省达成共识所付出的成本.首先,根据模糊偏好关系的特征,设计一致性检验方法和调整模型,为后续的共识达成提供可靠的偏好关系.其次,考虑到专家受到群体规范的压力而产生从众行为,从而对初始效用值进行修正.然后,提出考虑从众行为的最小成本共识模型,进一步设计相应的共识达成算法.最后,计算各已选方案到理想点的距离,运用TOPSIS方法对已选方案进行排序,并通过一个企业产品升级改良的算例来分析说明所提方法是有效的和可行的.
Keyword ：
TOPSIS TOPSIS 从众行为 从众行为 最小成本共识模型 最小成本共识模型 模糊偏好关系 模糊偏好关系 群体共识 群体共识
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| GB/T 7714 | 刘伟 , 王应明 . 模糊偏好关系下考虑从众行为的群体共识决策方法 [J]. | 系统科学与数学 , 2024 , 44 (04) : 981-998 . |
| MLA | 刘伟 et al. "模糊偏好关系下考虑从众行为的群体共识决策方法" . | 系统科学与数学 44 . 04 (2024) : 981-998 . |
| APA | 刘伟 , 王应明 . 模糊偏好关系下考虑从众行为的群体共识决策方法 . | 系统科学与数学 , 2024 , 44 (04) , 981-998 . |
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随着信息技术的发展,互联网中积累了大量有价值的信息,这些信息已成为多准则决策重要的信息来源.由于个人知识背景、经验、表达习惯以及不同准则特质的不同,在线评论信息通常由多种形式的信息组成,如实数、区间数和文本信息.这种异质信息会给决策过程中的信息处理、融合和方案选择带来新的挑战.为了应对这些挑战,本文提出了一种基于异质在线评论信息的多准则决策方法.首先,通过数据获取与预处理方法,获得与决策问题相关的异质在线评论信息.其次,提出了一种异质信息处理方法,将不同形式的信息统一处理为分布在同一识别框架上的语言分布信息.然后,为了应对在线评论信息中的模糊和不确定性,提出了一种区间权重确定模型和一种基于证据推理算法的信息融合方法.最后,通过一个关于汽车评估的案例分析验证了将所提出的多准则决策方法的实用性和有效性.
Keyword ：
信息融合 信息融合 区间权重确定 区间权重确定 多准则决策 多准则决策 异质信息处理 异质信息处理 异质在线评论信息 异质在线评论信息
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| GB/T 7714 | 何世繁 , 潘晓宏 , 王应明 . 基于异质在线评论信息的多准则决策方法研究 [J]. | 系统工程理论与实践 , 2024 , 44 (04) : 1349-1364 . |
| MLA | 何世繁 et al. "基于异质在线评论信息的多准则决策方法研究" . | 系统工程理论与实践 44 . 04 (2024) : 1349-1364 . |
| APA | 何世繁 , 潘晓宏 , 王应明 . 基于异质在线评论信息的多准则决策方法研究 . | 系统工程理论与实践 , 2024 , 44 (04) , 1349-1364 . |
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决策问题的复杂性和人类思维认知的模糊性，往往导致决策在不确定的环境下进行。利用灰色系统来处理决策中的不确定性已经取得了丰硕的成果。然而，如果仅仅使用精确数来表达偏好可能无法准确地反映专家的意见。因此，在这种情况下，本文引入了区间灰数来模拟专家在多个决策模型上的不确定性。尽管基于区间灰数的决策模型数量众多，但它们中的大多数都没有考虑到人类的有限理性。针对属性值以区间灰数形式给出且属性间具有相互作用关系的多属性决策问题，本文提出了基于几何面积的属性关联区间灰熵多属性决策方法。首先，考虑到分辨系数的主观选择会对关联排序造成不良影响，提出基于序列波动情况的指数型分辨系数。其次，给出面积相离度公式替代传统对应点之间的距离来计算接近度。最后提出了新的体现属性间相关性的调整权重公式，计算均衡接近度并排序。算例分析和对比分析验证了本文所提方法的可行性和合理性。
Keyword ：
区间灰数 区间灰数 均衡接近度 均衡接近度 多属性决策 多属性决策 属性关联 属性关联 灰熵模型 灰熵模型
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| GB/T 7714 | 郑秋红 , 丁全玉 , 王应明 . 考虑属性关联的区间灰熵决策模型 [J]. | 运筹与管理 , 2024 , 33 (05) : 42-47 . |
| MLA | 郑秋红 et al. "考虑属性关联的区间灰熵决策模型" . | 运筹与管理 33 . 05 (2024) : 42-47 . |
| APA | 郑秋红 , 丁全玉 , 王应明 . 考虑属性关联的区间灰熵决策模型 . | 运筹与管理 , 2024 , 33 (05) , 42-47 . |
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Failure modes and effects analysis is a proactive reliability-management engineering technique, it has been applied to improve reliability of processes, products, and services. Traditional failure modes and effects analysis method manifests three deficiencies with regard to form of risk assessments, determination of risk factor weights, and exploitation of failure modes' risk levels. Although numerous studies have contributed to surmount these deficiencies, existing failure modes and effects analysis methods still face such issues. Moreover, a novel drawback has raised when failure modes and effects analysis participants adopt linguistic terms as risk assessments of failure modes, the reliability of linguistic distribution assessments as well as failure modes and effects analysis groups (participants with similar knowledge background are previously classified into a failure modes and effects analysis group) is overlooked. Therefore, this paper introduces the transformation of linguistic distribution assessments into fuzzy preference relations, as more effective modeling for investigating consistency, by using the newly defined possibility degrees of linguistic distribution assessments will be applied to devise four algorithms for enhancing reliability of assessments. Hence, the three deficiencies of traditional failure modes and effects analysis method are solved by means of a novel failure modes and effects analysis framework. Finally, a real example with respect to ranking failure modes of worm wheel grinding machine is developed to verify the performance and advantages of the proposed method, in which ten failure modes are ranked and the one with the highest risk level is selected, and consistency of risk assessments is improved to be acceptable.
Keyword ：
Failure modes and effects analysis Failure modes and effects analysis Fuzzy preference relations Fuzzy preference relations Linguistic distribution assessments Linguistic distribution assessments Weighting determination method Weighting determination method
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| GB/T 7714 | Jia, Xiang , Wang, Ying-Ming , Martinez, Luis . Enhancing reliability of failure modes and effects analysis dealing with linguistic distribution assessments: A consistency based approach [J]. | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , 2024 , 133 . |
| MLA | Jia, Xiang et al. "Enhancing reliability of failure modes and effects analysis dealing with linguistic distribution assessments: A consistency based approach" . | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 133 (2024) . |
| APA | Jia, Xiang , Wang, Ying-Ming , Martinez, Luis . Enhancing reliability of failure modes and effects analysis dealing with linguistic distribution assessments: A consistency based approach . | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , 2024 , 133 . |
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