摘要
针对具有多部门多指标特征的复杂大群体应急决策问题,提出一种新的决策方法.首先,给出直觉模糊数相似度公式,将其作为相聚度公式对专家偏好进行聚类;然后,以同一部门指标数据的方案区分度最大化为目标,构建优化模型以确定部门指标权重;接着,基于部门信息区分度结合极大熵原理对部门权重进行求解,进而对备选方案进行排序;最后,通过一个算例验证了所提出方法的可行性和有效性.
In order to solve the large group emergency decision making problem with the characteristic of multi-department and multi-index, a new decision making method is proposed. Firstly, the similarity formula of intuitionistic fuzzy numbers is constructed, which is taken as the clustering formula for expert preference clustering operation. Then, aiming at maximization of the distinction degree over index data for each department, and index weights for each department are obtained. Based on the degree of differentiation over department information, combining with maximum entropy principle, department weights are calculated, and then all alternatives are ranked. Finally, an example is used to illustrate the feasibility and effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2016年第2期225-232,共8页
Control and Decision
基金
国家自然科学基金项目(71171202
71171201)
关键词
应急决策
多部门多指标
复杂大群体
emergency decision making
multi-department and multi-index
complex large group
作者简介
徐选华（1962-），男，教授，博士生导师，从事决策理论与方法、信息系统与决策支持系统等研究；
蔡晨光（1987-），男，博士生，从事决策理论与方法、应急管理与决策的研究．
