摘要
针对社会网络环境下,子群具有关联性且专家偏好为犹豫模糊信息的大群体决策问题,提出一种基于重叠子群的共识达成方法.首先,利用社区划分方法对专家进行子群划分,提出一种基于子群链接强度和多数原则的子群权重确定方法.接着,提出一种新的共识测度方法,即最大共识序列挖掘算法.然后,基于最大共识序列提出大群体环境下的共识达成算法.最后,用城市雨洪示范性工程选择案例验证了本文方法的有效性和合理性,且通过对比分析显示了本文共识方法的优势.
This study proposes a consensus reaching method for large-scale group decision-making problems with overlapping subgroups under social network environment.In this method,subgroups have interrelationships and experts use hesitant fuzzy information to express preferences.First,we use a community detection method to cluster experts into several subgroups and introduce a weight-determination method for subgroups based on link strength and majority principle.Next,we propose a new consensus measurement method,namely,the maximum consensus sequence mining algorithm.Then,a consensus reaching method is given based on the maximum consensus sequences.Finally,we use an example regarding demonstration project selection of urban stormwater to verify the validity and rationality of the proposed method.Comparative analysis is also provided to show the advantages of our consensus reaching method.
作者
唐明
廖虎昌
徐泽水
TANG Ming;LIAO Huchang;XU Zeshui(Business School,Sichuan University,Chengdu 610064,China)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2021年第11期3043-3054,共12页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71771156,71971145)。
关键词
大群体决策
社会网络
重叠子群
最大共识序列
犹豫模糊信息
large-scale group decision making
social network
overlapping subgroups
maximum consensus sequences
hesitant fuzzy information
