Business School, Hohai University, Nanjing 211100, China.
Business School, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.
Int J Environ Res Public Health. 2019 Jul 31;16(15):2740. doi: 10.3390/ijerph16152740.
The social network has emerged as an essential component in group decision making (GDM) problems. Thus, this paper investigates the social network GDM (SNGDM) problem and assumes that decision makers offer their preferences utilizing additive preference relations (also called fuzzy preference relations). An optimization-based approach is devised to generate the weights of decision makers by combining two reliable resources: in-degree centrality indexes and consistency indexes. Based on the obtained weights of decision makers, the individual additive preference relations are aggregated into a collective additive preference relation. Further, the alternatives are ranked from best to worst according to the obtained collective additive preference relation. Moreover, earthquakes have occurred frequently around the world in recent years, causing great loss of life and property. Earthquake shelters offer safety, security, climate protection, and resistance to disease and ill health and are thus vital for disaster-affected people. Selection of a suitable site for locating shelters from potential alternatives is of critical importance, which can be seen as a GDM problem. When selecting a suitable earthquake shelter-site, the social trust relationships among disaster management experts should not be ignored. To this end, the proposed SNGDM model is applied to evaluate and select earthquake shelter-sites to show its effectiveness. In summary, this paper constructs a novel GDM framework by taking the social trust relationship into account, which can provide a scientific basis for public emergency management in the major disasters field.
社交网络已成为群体决策问题 (GDM) 的重要组成部分。因此，本文研究了社交网络 GDM (SNGDM) 问题，并假设决策者利用加性偏好关系（也称为模糊偏好关系）来提供偏好。设计了一种基于优化的方法，通过结合两个可靠的资源来生成决策者的权重：入度中心性指数和一致性指数。基于决策者的权重，将个人加性偏好关系聚合为集体加性偏好关系。然后，根据获得的集体加性偏好关系对备选方案进行从优到劣的排序。此外，近年来，世界各地频繁发生地震，造成巨大的生命和财产损失。地震避难所提供安全、保障、气候保护以及对疾病和不健康的抵抗力，因此对受灾民众至关重要。从潜在的备选方案中选择合适的避难所位置至关重要，可以将其视为一个 GDM 问题。在选择合适的地震避难所位置时，不应忽视灾害管理专家之间的社会信任关系。为此，应用所提出的 SNGDM 模型来评估和选择地震避难所位置，以展示其有效性。总之，本文通过考虑社会信任关系构建了一个新的 GDM 框架，可以为重大灾害领域的公共应急管理提供科学依据。
