基于属性不完全判断的语言群决策方法  

Method of linguistic group decision-making based on incomplete category preference of attribute

作　　者：戴泉晨[1] 朱建军[1] 张世涛[1,2] 

机构地区：[1]南京航空航天大学经济与管理学院,南京210016 [2]安徽工业大学数理科学与工程学院,安徽马鞍山243002

出　　处：《控制与决策》2017年第5期855-863,共9页Control and Decision

基　　金：国家自然科学基金项目(71171112;71502073);国家社会科学基金重点项目(14AZD049);教育部人文社会科学研究专项任务(16JDSZ2066);教育部人文社科基金青年基金项目(14YJC630120);中央高校基本科研业务费专项资金项目(NS2014086)

摘　　要：研究多个决策者对属性有不完全类别偏好的语言案例决策方法.基于案例学习框架定义属性公共提及因子,提出考虑多重类别偏好的信息增益系数;基于灰靶决策框架建立综合靶心距最小的属性权重优化模型;基于决策者个体和群体的关联度确定决策者权重,进而给出方案排序.案例分析表明了所提出方法的应用步骤和可行性.The linguistic group decision making method of decision makers having incomplete category preferences on some properties is studied. Firstly, according to the case-based framework, the values for all attributes of public mention factor are calculated and the information gain coefficient is presented. Then according to the grey target decision framework, attribute weights are optimized from the minimum of the objective optimization model. Based on the decision-making relevance of individuals and groups, the weights of decision-makers are determined, and the ranking of the scheme is given. An example is provided to illustrate the effectiveness of the proposed method.

关 键 词：群决策 灰靶决策 不完全偏好 案例学习 语言 

分 类 号：C934[经济管理—管理学]