Business School, Sichuan University, Chengdu 610065, China.
Business School, Hohai University, Nanjing 211100, China.
Int J Environ Res Public Health. 2019 Aug 14;16(16):2918. doi: 10.3390/ijerph16162918.
Linguistic preference relations are widely used by decision makers to elicit their preferences over alternatives in the Group Decision Making (GDM) process. Recent studies have shown that self-confidence, as an important human psychological behavior, has an important influence on decision-making results. However, multiple self-confidence levels of decision makers are seldom considered in the linguistic preference relation. Meanwhile many real-word decision-making problems are analyzed in a hierarchical structure, in which a complicated problem can be divided into several easier comprehended sub-problems. Hence, this paper aims at designing a linguistic hierarchy model with self-confidence preference relation (LHM-SCPR) to discuss complex GDM problems in a hierarchical structure. In the SC-LPR, each element contains two components, the first one is the preference value between pairs of alternatives, and the second one that is defined on a linguistic term set represents decision maker's self-confidence level associated to the first component. Meanwhile, a nonlinear programming model is proposed to derive individual preference vector from SC-LPR. Then, we apply LHM-SCPR in co-regulation of food safety to present the validity of this method, and find that improving the participation skills regarding co-regulation of food safety is the most pressing task. Finally, detailed comparative analysis and discussion are presented to verify the validity of the proposal.
语言偏好关系被决策者广泛用于在群体决策过程中引出他们对备选方案的偏好。最近的研究表明，自信作为一种重要的人类心理行为，对决策结果有重要影响。然而，决策者的多种自信水平在语言偏好关系中很少被考虑到。同时，许多实际的决策问题都是以分层结构的形式进行分析的，其中一个复杂的问题可以分为几个更容易理解的子问题。因此，本文旨在设计一个具有自信偏好关系的语言层次模型（LHM-SCPR），以在分层结构中讨论复杂的 GDM 问题。在 SC-LPR 中，每个元素包含两个组件，第一个组件是备选方案之间的偏好值，第二个组件定义在语言术语集上，表示决策者与第一个组件相关的自信水平。同时，提出了一种非线性规划模型，从 SC-LPR 中推导出个体偏好向量。然后，我们将 LHM-SCPR 应用于食品安全共同监管，以展示该方法的有效性，并发现提高食品安全共同监管的参与技能是最紧迫的任务。最后，进行了详细的对比分析和讨论，以验证该建议的有效性。
