共识驱动的区间直觉模糊型多准则群体决策信息融合模型  

Consensus driven information fusion model of interval-valued intuitionistic fuzzy multi-criteria group decision making

作　　者：钟晓芳[1,2] 兰红娟 江文奇 ZHONG Xiaofang;LAN Hongjuan;JIANG Wenqi(School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094,China;Jiangsu Industrial Cluster Decision Consulting Research Base, Nanjing 210094, China)

机构地区：[1]南京理工大学经济管理学院,江苏南京210094 [2]江苏产业集群决策咨询研究基地,江苏南京210094

出　　处：《系统工程与电子技术》2020年第7期1558-1566,共9页Systems Engineering and Electronics

基　　金：国家自然科学基金(71971117);教育部人文社科基金(17YJA630035);南京理工大学自主科研培育项目(30916011331);南京理工大学经济管理学院项目(JGQN1602);江苏省研究生科研与实践创新计划项目(KYCX19_0228)资助课题。

摘　　要：区间直觉模糊型多准则群体决策集结结果的可靠性是实现群体共识的基础,既体现了群体集结结果的有效性也影响了个体意见的调整行为。首先,分析了现有8种集结算子,以个体平均一致性为诱导变量设计群体意见集结模型。其次,为提高群体集结结果的可靠性,基于各决策方案在各准则下的群体平均一致性,以统计检验为手段设计调整阈值,并以相似度最优为约束设计群体集结结果调整优化模型。最后,通过举例实例说明了该方法的适用性,通过对比分析体现了该方法在实现群体共识方面的优越性。The reliability of interval-valued intuitionistic fuzzy multi-criteria group decision making aggregation results is the basis for realizing group consensus,which not only reflects the effectiveness of the group aggregation results but also affects the adjustment behavior of individual opinions.Firstly,based on the analysis of the existing eight aggregation operators,the group consensus model is designed with the individual average consistency as the order inducing variable.Secondly,in order to improve the reliability of the group aggregation results,the adjustment threshold is designed by statistical test methods based on the group average consistency of each alternative under each criterion,and the model is optimized to adjust the group aggregation results with the optimal similarity as the constraint.Finally,the applicability of the method is illustrated by an example.The comparative analysis shows the superiority of the method in the realization of group consensus.

关 键 词：群体决策 区间直觉模糊集 群体共识 相似度 

分 类 号：C934[经济管理—管理学]