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学者姓名：楚俊峰
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Abstract ：
针对现有群体推荐方法较少考虑群体成员间社会化关系的隐式估计以及利用群体共识减少偏好冲突的问题,提出一种基于隐式信任和群体共识的群体推荐方法(GR-TC),所提方法分为推荐阶段和共识阶段.在推荐阶段根据成员间偏好信息和社交关系挖掘隐式信任值,估计成员的个人偏好、权重和初始群体偏好;在共识阶段通过共识测量和识别规则识别不一致成员,建立最大和谐度优化共识模型,调整更新群体偏好,传递群体推荐列表.实验结果表明,成员间社交关系影响群体推荐结果,合理选择隐式信任权值会提高不一致成员的和谐度;相较于传统共识反馈机制,隐式信任诱导的最大和谐共识反馈机制调整成本更小,对不一致成员的影响更小.
Keyword ：
社交关系 社交关系 群体偏好 群体偏好 群体共识 群体共识 群体推荐 群体推荐 隐式信任 隐式信任
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| GB/T 7714 | 李婷婷 , 楚俊峰 , 王燕燕 . 基于隐式信任和群体共识的群体推荐方法 [J]. | 计算机应用 , 2024 , 44 (2) : 460-468 . |
| MLA | 李婷婷 等. "基于隐式信任和群体共识的群体推荐方法" . | 计算机应用 44 . 2 (2024) : 460-468 . |
| APA | 李婷婷 , 楚俊峰 , 王燕燕 . 基于隐式信任和群体共识的群体推荐方法 . | 计算机应用 , 2024 , 44 (2) , 460-468 . |
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PurposeIn large-scale group decision-making (LSGDM) situations, existing TODIM group decision-making methods often fail to account for the influence of social network relationships and the bounded rationality of decision-makers (DMs). To address this issue, a new TODIM-based group decision-making method is proposed that considers the current trust relationships among DMs in a large-scale trust relationship network.Design/methodology/approachThis method consists of two main stages. In the first stage, the large-scale group is partitioned into several sub-clusters based on trust relationships among DMs. The dominance degree matrix of each sub-cluster is then aggregated into the large-scale group dominance degree. In the second stage, after aggregating the large-scale group dominance degree, the consensus index is calculated to identify any inconsistent sub-clusters. Feedback adjustments are made based on trust relationships until a consensus is reached. The TODIM method is then applied to calculate the corresponding ranking results. Finally, an illustrative example is applied to show the feasibility of the proposed model.FindingsThe proposed method is practical and effective which is verified by the real case study. By taking into account the trust relationships among DMs in the core process of LSGDM, it indeed has an impact on the decision outcomes. We also specifically address this issue in Chapter Five. The proposed method fully incorporates the bounded rationality of DMs, namely their tendency to accept the opinions of trusted experts, which aligns more with their psychology. The two-stage consensus model proposed in this paper effectively addresses the limitations of traditional assessment-based methods.Originality/valueThis study establishes a two-stage consensus model based on trust relationships among DMs, which can assist DMs in better understanding trust issues in complex decision-making, enhancing the accuracy and efficiency of decisions, and providing more scientific decision support for organizations such as businesses and governments.
Keyword ：
Deviation degree Deviation degree Large-scale group Large-scale group Sub-clusters Sub-clusters TODIM TODIM Trust relationship Trust relationship
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| GB/T 7714 | Chu, Junfeng , Shu, Pan , Liu, Yicong et al. A trust relationship network-based consensus model in large-scale TODIM group decision-making [J]. | KYBERNETES , 2024 . |
| MLA | Chu, Junfeng et al. "A trust relationship network-based consensus model in large-scale TODIM group decision-making" . | KYBERNETES (2024) . |
| APA | Chu, Junfeng , Shu, Pan , Liu, Yicong , Wang, Yanyan , Wang, Yingming . A trust relationship network-based consensus model in large-scale TODIM group decision-making . | KYBERNETES , 2024 . |
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在社会网络环境下的大群体决策问题当中,决策专家之间的社会网络关系对决策过程和结果的影响至关重要.文章创新地提出一种考虑决策专家社会网络关系和非合作行为的大群体共识决策模型,有效促进大群体共识的达成.首先,根据决策专家的偏好信息和社会网络关系,改进经典Louvain社区发现算法,对大决策群体进行社区划分.其次,运用社会网络分析方法确定决策专家个体和社区的权重.随后,根据决策专家的偏离程度对决策专家非合作行为进行识别,并考虑社会网络关系的影响对非合作行为进行管理,以此构建共识决策模型.最后,通过案例分析来验证所建立共识决策模型的可行性和有效性.文章构建的共识决策模型,不仅在大群体社区划分过程中,创新性地同时考虑决策专家的偏好信息和社会网络关系的影响,并且在非合作行为管理过程中,也考虑到了社会网络关系对非合作行为决策专家偏好调整的影响,使其更适应社会网络决策环境.
Keyword ：
共识 共识 社会网络 社会网络 群体决策 群体决策 非合作行为 非合作行为
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| GB/T 7714 | 楚俊峰 , 鲁亚南 , 王燕燕 . 考虑非合作行为的社会网络大群体共识决策模型 [J]. | 系统科学与数学 , 2023 , 43 (04) : 961-981 . |
| MLA | 楚俊峰 et al. "考虑非合作行为的社会网络大群体共识决策模型" . | 系统科学与数学 43 . 04 (2023) : 961-981 . |
| APA | 楚俊峰 , 鲁亚南 , 王燕燕 . 考虑非合作行为的社会网络大群体共识决策模型 . | 系统科学与数学 , 2023 , 43 (04) , 961-981 . |
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Large-scale group decision making (LSGDM) is considered when the number of experts involved in the decision exceeds 20. Due to the large number of people involved in LSGDM, its decision-making process is uncertain, complex, and time-consuming. Therefore, how to effectively help large groups reach consensus in a complex environment is a challenge for current research. Consensus reaching process (CRP) is an effective tool to eliminate group conflicts. Based on this, we propose a consensus reaching process based on the Louvain algorithm, social network, and bounded confidence (SNBC) model with interval numbers. First, we use interval numbers to express expert opinions and social network relationships among experts. Second, the experts are clustered using the Louvain algorithm. The weights of experts are obtained by social network analysis. Third, we use the SNBC model to design a feedback mechanism for tripartite opinions. In addition, we give a numerical example and simulation experiments to demonstrate the flexibility and effectiveness of the proposed approach. Finally, the comparative analysis shows the superiority of our method.
Keyword ：
CRP CRP Interval number Interval number Large-scale group decision making Large-scale group decision making Louvain algorithm Louvain algorithm Social network Social network
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| GB/T 7714 | Tan, Jiangjing , Wang, Yingming , Chu, Junfeng . A consensus method in social network large-scale group decision making with interval information [J]. | EXPERT SYSTEMS WITH APPLICATIONS , 2023 , 237 . |
| MLA | Tan, Jiangjing et al. "A consensus method in social network large-scale group decision making with interval information" . | EXPERT SYSTEMS WITH APPLICATIONS 237 (2023) . |
| APA | Tan, Jiangjing , Wang, Yingming , Chu, Junfeng . A consensus method in social network large-scale group decision making with interval information . | EXPERT SYSTEMS WITH APPLICATIONS , 2023 , 237 . |
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针对在群体决策中如何利用专家之间的社会关系和决策专家的有限理性的问题，提出一种信任网络下的TODIM群体决策方法。首先，根据专家讨论次数，在每一次讨论中，每个专家会根据信任接受程度参考信任者的决策矩阵，并通过信息交互和协商修改决策矩阵；其次，当达到设定的专家讨论次数时，计算最终的群体决策矩阵；最后，分别运用信任网络下的TODIM群体决策方法和TODIM群体决策方法计算各方案排序。对所得结果进行对比分析，并对专家讨论次数和信任接受程度进行灵敏度分析。案例分析结果表明，信任网络下的TODIM群体决策方法能充分结合信任网络，保证了决策过程中的多阶段信息交互和反馈过程，并在对比分析和灵敏度分析上优于对...
Keyword ：
TODIM TODIM 交互 交互 信任网络 信任网络 信任者 信任者 群体决策 群体决策
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| GB/T 7714 | 刘议聪 , 楚俊峰 , 王燕燕 et al. 信任网络下的TODIM群体决策方法 [J]. | 计算机应用 , 2022 , 42 (08) : 2369-2377 . |
| MLA | 刘议聪 et al. "信任网络下的TODIM群体决策方法" . | 计算机应用 42 . 08 (2022) : 2369-2377 . |
| APA | 刘议聪 , 楚俊峰 , 王燕燕 , 王应明 . 信任网络下的TODIM群体决策方法 . | 计算机应用 , 2022 , 42 (08) , 2369-2377 . |
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To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisdo interativa multicrit e rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.
Keyword ：
deviation degree deviation degree dominance degree dominance degree leader leader TODIM TODIM Trust relationship Trust relationship
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| GB/T 7714 | Liu, Yicong , Chu, Junfeng , Wang, Yanyan et al. A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2022 , 42 (4) : 3775-3788 . |
| MLA | Liu, Yicong et al. "A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 42 . 4 (2022) : 3775-3788 . |
| APA | Liu, Yicong , Chu, Junfeng , Wang, Yanyan , Wang, Yingming . A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2022 , 42 (4) , 3775-3788 . |
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针对现有多属性群体决策方法较少考虑社会网络和决策者有限理性因素的影响,考虑到社会网络中的信任关系,提出了基于信任关系的TODIM(TOmada de decis?o interativa multicritério)群体多属性决策方法。根据决策专家之间的信任关系,计算出信任网络中的领导者、信任关系矩阵以及评价矩阵等。专家根据自身的自信程度来参考领导者的评价矩阵,调整备选方案的优势度。运用TODIM方法计算各方案最终的排序结果,并与未考虑信任关系时得出的排序结果进行比较,并对自信程度进行灵敏度分析。算例结果说明了该方法的可行性和有效性。结合信任网络和TODIM决策方法的性质和研究现状,对未来的研...
Keyword ：
TODIM TODIM 信任关系 信任关系 群体决策 群体决策 自信程度 自信程度 领导者 领导者
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| GB/T 7714 | 刘议聪 , 楚俊峰 , 王燕燕 . 基于信任关系的TODIM群体多属性决策方法 [J]. | 计算机工程与应用 , 2022 , 58 (03) : 187-194 . |
| MLA | 刘议聪 et al. "基于信任关系的TODIM群体多属性决策方法" . | 计算机工程与应用 58 . 03 (2022) : 187-194 . |
| APA | 刘议聪 , 楚俊峰 , 王燕燕 . 基于信任关系的TODIM群体多属性决策方法 . | 计算机工程与应用 , 2022 , 58 (03) , 187-194 . |
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Abstract ：
随着社会化媒体的快速发展,社会化因素已经成为影响群体决策过程及其结果的重要因素.针对群体决策者的判断信息以残缺判断矩阵形式给出,且考虑群体决策者社会网络邻接关系的群体决策问题,提出可行的解决方法.首先,提出一种基于决策者相似性程度和社会网络距离的残缺判断矩阵补全方法;然后,提出考虑决策者社会网络影响力的群体共识交互决策模型,该交互模型不仅考虑群体决策者之间的社会邻接关系,而且可以在较大程度上保存决策者给定的原始判断信息;最后,通过一个物流企业选择存储仓库的算例验证所提出算法的可行性和优势.
Keyword ：
共识 共识 判断矩阵 判断矩阵 社会网络 社会网络 群体决策 群体决策 邻接关系 邻接关系
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| GB/T 7714 | 楚俊峰 , 刘议聪 , 王应明 . 考虑社会网络邻接关系的群体判断矩阵决策方法 [J]. | 控制与决策 , 2021 , 36 (04) : 983-992 . |
| MLA | 楚俊峰 et al. "考虑社会网络邻接关系的群体判断矩阵决策方法" . | 控制与决策 36 . 04 (2021) : 983-992 . |
| APA | 楚俊峰 , 刘议聪 , 王应明 . 考虑社会网络邻接关系的群体判断矩阵决策方法 . | 控制与决策 , 2021 , 36 (04) , 983-992 . |
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Abstract ：
随着社会化媒体的快速发展,社会化因素己经成为影响群体决策过程及其结果的重要因素.针对群体决策者的判断信息以残缺判断矩阵形式给出,且考虑群体决策者社会网络邻接关系的群体决策问题,提出可行的解决方法.首先,提出一种基于决策者相似性程度和社会网络距离的残缺判断矩阵补全方法;然后,提出考虑决策者社会网络影响力的群体共识交互决策模型,该交互模型不仅考虑群体决策者之间的社会邻接关系,而且可以在较大程度上保存决策者给定的原始判断信息;最后,通过一个物流企业选择存储仓库的算例验证所提出算法的可行性和优势.
Keyword ：
共识 共识 判断矩阵 判断矩阵 社会网络 社会网络 群体决策 群体决策 邻接关系 邻接关系
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| GB/T 7714 | 楚俊峰 , 刘议聪 , 王应明 . 考虑社会网络邻接关系的群体判断矩阵决策方法 [J]. | 控制与决策 , 2021 , 36 (4) : 983-992 . |
| MLA | 楚俊峰 et al. "考虑社会网络邻接关系的群体判断矩阵决策方法" . | 控制与决策 36 . 4 (2021) : 983-992 . |
| APA | 楚俊峰 , 刘议聪 , 王应明 . 考虑社会网络邻接关系的群体判断矩阵决策方法 . | 控制与决策 , 2021 , 36 (4) , 983-992 . |
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Large-scale group decision making (LSGDM) is characterized by a large number of participators, multiple groups and a mass of decision data provided by the participators. With the development of social media and e-democracy technologies, the social relationships among group decision makers should be taken into consideration when we address LSGDM problems with incomplete fuzzy preference relations. In this paper, a social network community detection approach of social networks based on the fuzzy clustering method is proposed. Then, a method of repairing incomplete fuzzy preference relations based on the divided communities is proposed. Moreover, we have proposed a two-stage consensus reaching method to balance the number of iterations and modification range of original decision information, in which the group closeness centrality of community is applied to measure its importance. Also, the procedure for LSGDM with fuzzy preference relations based on social network community analysis is established. The feasibility and advantages of the proposed method for LSGDM based on social network community analysis are illustrated by an illustrative example of a flexible manufacturing system.
Keyword ：
Community analysis Community analysis Consensus Consensus Fuzzy preference relation Fuzzy preference relation Large-scale group decision making Large-scale group decision making Social network Social network
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| GB/T 7714 | Chu, Junfeng , Wang, Yingming , Liu, Xinwang et al. Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations [J]. | INFORMATION FUSION , 2020 , 60 : 98-120 . |
| MLA | Chu, Junfeng et al. "Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations" . | INFORMATION FUSION 60 (2020) : 98-120 . |
| APA | Chu, Junfeng , Wang, Yingming , Liu, Xinwang , Liu, Yicong . Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations . | INFORMATION FUSION , 2020 , 60 , 98-120 . |
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