Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination
Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination
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DOI：
10.1016/j.ejor.2018.11.075
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发表时间：
2019-06-01
影响因子：
6.4
通讯作者：
Herrera, Francisco
中科院分区：
文献类型：
--
作者：
Liu, Bingsheng;Zhou, Qi;Herrera, Francisco
本文提出了一种基于信任关系的冲突检测和消除决策（TR-CDE）模型，适用于社交网络环境中的大规模群体决策（LSGDM）问题。 TR-CDE模型包括三个过程：信任传播过程；冲突检测和消除过程；和选择过程。在第一个过程中，我们提出了一种新的基于关系强度的信任传播算子，它允许通过考虑关系强度对传播效率的影响来构建完整的社交网络。在第二个过程中，我们定义了冲突程度的概念，并结合大群体中决策者之间的评估信息和信任关系来量化集体冲突程度。我们使用社交网络分析和非线性优化模型来检测和消除决策者之间的冲突。通过找到所提出的非线性优化模型的最优解，我们促进了对过程中冲突程度最高的 DM 的评估进行修改，并保证了群体冲突程度的充分降低。在第三个也是最后一个过程中，我们提出了一种新的 LSGDM 选择方法，根据决策者的冲突程度确定决策者的权重。数值例子和实际场景证明了所提出的 TR-CDE 模型的可行性。 (C) 2018 Elsevier B.V. 保留所有权利。
The paper proposes a Trust Relationship-based Conflict Detection and Elimination decision making (TR-CDE) model, applicable for Large-scale Group Decision Making (LSGDM) problems in social network contexts. The TR-CDE model comprises three processes: a trust propagation process; a conflict detection and elimination process; and a selection process. In the first process, we propose a new relationship strength based trust propagation operator, which allows to construct a complete social network by considering the impact of relationship strength on propagation efficiency. In the second process, we define the concept of conflict degree and quantify the collective conflict degree by combining the assessment information and trust relationships among decision makers in the large group. We use social network analysis and a nonlinear optimization model to detect and eliminate conflicts among decision makers. By finding the optimal solution to the proposed nonlinear optimization model, we promote the modification of the assessments from the DM who exhibits the highest degree of conflict in the process, as well as guaranteeing that a sufficient reduction of the group conflict degree is achieved. In the third and last process, we propose a new selection method for LSGDM that determines decision makers' weights based on their conflict degree. A numerical example and a practical scenario are implemented to show the feasibility of the proposed TR-CDE model. (C) 2018 Elsevier B.V. All rights reserved.