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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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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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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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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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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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With the development of social media, the social relationships among group decision makers should be taken into consideration when addressing group decision making problems. As an extension of the fuzzy set, the Pythagorean fuzzy set has recently been applied to depict the uncertainty in practical group decision problems. The purpose of this paper is to propose a multi-criteria Pythagorean fuzzy group decision approach considering social relations. In this paper, the similarity degree and the paths between any two experts in a social network are combined to construct a connection strength matrix to detect the leader among all the experts. A leader-following consensus reaching algorithm is proposed to adjust the multi-criteria Pythagorean fuzzy decision making matrix. Moreover, a procedure for the multi-criteria Pythagorean fuzzy group decision approach based on social network analysis is proposed. We use an example to illustrate the feasibility and advantages of the proposed method.
Keyword ：
consensus consensus multi-criteria group decision making multi-criteria group decision making Pythagorean fuzzy Pythagorean fuzzy social network analysis social network analysis
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| GB/T 7714 | Wang, Yanyan , Chu, Junfeng , Liu, Yicong . Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis [J]. | SYMMETRY-BASEL , 2020 , 12 (2) . |
| MLA | Wang, Yanyan et al. "Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis" . | SYMMETRY-BASEL 12 . 2 (2020) . |
| APA | Wang, Yanyan , Chu, Junfeng , Liu, Yicong . Multi-Criteria Pythagorean Fuzzy Group Decision Approach Based on Social Network Analysis . | SYMMETRY-BASEL , 2020 , 12 (2) . |
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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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Dempster-Shafer theory (DST) of evidence has wide application prospect in the fields of information aggregation and decision analysis. To solve the issues of interval evidence combination and normalization, we have reinvestigated the methods provided for interval evidence combination within the frameworks of DST and evidential reasoning (ER) approach, respectively, and pointed out the shortcomings of existing methods. A more general interval evidence combination approach based on the ER rule is constructed. Numerical examples are provided to indicate that the proposed method not only suitable to the conflict-free interval evidence combination, but also to the conflicting interval evidence combination, and interval evidence specificity can be kept intact in the interval evidence combination process. Moreover, the interval evidence combination methods based on DST or ER are special cases of the proposed method in some cases.
Keyword ：
combination combination Dempster-Shafer theory of evidence Dempster-Shafer theory of evidence ER approach ER approach ER rule ER rule interval evidence interval evidence
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| GB/T 7714 | Zhang, Xing-Xian , Wang, Ying-Ming , Chen, Sheng-Qun et al. Evidential reasoning rule for interval-valued belief structures combination [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2019 , 37 (2) : 2231-2242 . |
| MLA | Zhang, Xing-Xian et al. "Evidential reasoning rule for interval-valued belief structures combination" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 37 . 2 (2019) : 2231-2242 . |
| APA | Zhang, Xing-Xian , Wang, Ying-Ming , Chen, Sheng-Qun , Chu, Jun-Feng . Evidential reasoning rule for interval-valued belief structures combination . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2019 , 37 (2) , 2231-2242 . |
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The determination of evidence weights is an important step in evidence combination, which significantly influences final results. Taking into account the assumption of "psychology of economic man", decision-makers may tend to seek similar pieces of evidence to support their own evidence in the process of negotiation and thereby forming an alliance of benefit. In the process of negotiation, decision-makers are concerned about the fairness of negotiation. To achieve the aim of fairness, in this paper, we extend the concept of evidential reasoning (ER) to evidential reasoning based on Gini coefficient (ERBGC) to obtain the weights of evidence. The main concept of the ERBGC approach is that the decision-maker is willing to engage negotiation with others only when the negotiation process is fair, that means the gap between maximum and minimum distributed interests among all decision-makers is less than that without negotiation. It shows that negotiation can make interests distribution fairer among decision-makers. In this study, the optimization model was developed to generate the relative weights based on Gini coefficient and enable weighted evidence to be combined using the ER rule. The approach is then applied to a case study and compared with other related approaches to demonstrate the effectiveness and applicability.
Keyword ：
Decision-making Decision-making Evidence weights Evidence weights Evidential reasoning Evidential reasoning Gini coefficient Gini coefficient
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| GB/T 7714 | Zhang, Xing-Xian , Wang, Ying-Ming , Chen, Sheng-Qun et al. Gini coefficient-based evidential reasoning approach with unknown evidence weights [J]. | COMPUTERS & INDUSTRIAL ENGINEERING , 2018 , 124 : 157-166 . |
| MLA | Zhang, Xing-Xian et al. "Gini coefficient-based evidential reasoning approach with unknown evidence weights" . | COMPUTERS & INDUSTRIAL ENGINEERING 124 (2018) : 157-166 . |
| APA | Zhang, Xing-Xian , Wang, Ying-Ming , Chen, Sheng-Qun , Chu, Jun-Feng , Chen, Lei . Gini coefficient-based evidential reasoning approach with unknown evidence weights . | COMPUTERS & INDUSTRIAL ENGINEERING , 2018 , 124 , 157-166 . |
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