学术报告:Preferential Voting Consensus Models with Abstentions: with and without a Moderator

发布时间:2016-12-12        浏览量:383

报告时间:2016年12月14日(周三)下午3点-5点
报告地点:管理学院1010会议室
报 告 人:巩在武 教授

摘要:
 Utilizing the data envelopment analysis (DEA) model for aggregating preferential rankings helps improve efficiency of the voting system. Recent elections often have a large number of abstentions and invalid ballots, making it necessary to incorporate abstentions into voting models. Firstly, this paper introduces a preferential voting DEA model with abstentions, in which the raw votes are expressed as interval values and the width of the interval characterizes the number of uncertain votes, the objective function is to maximize the candidate's weighted  voting score, and the constraints put restrictions on the place weights to ensure a proper importance order of different places. Secondly, to account for the role of opinion leaders in influencing voters by different means (social-media, advertising,...) in real-world elections, we explicitly incorporate these opinion leaders/brokers as a moderator into a preferential voting model with abstentions and introduce the moderator-involved-consensus preferential voting (MICPV) model. The aim of the model is to achieve a maximum agreement/consensus level between the moderator's expectation and the voters' collective choice. The optimal allocation of all uncertain votes allows the moderator to maximize his/her influence over the voters to achieve the minimum deviation between his/her expectation and the aggregate scores of the candidates. Economic significance of the proposed models is also discussed. Numerical examples are presented to illustrate how the proposed models work for different voting scenarios.

 

报告人简介: 
巩在武,教授,博士生导师。气候变化与公共气象、管理科学与工程专业硕士生导师。Natural Hazards客座主编。中国运筹学会不确定分会常务理事,中国运筹学会智能分会常务理事,中国运筹学会决策科学分会理事,中国运筹学会企业运筹学分会理事,中国优选法统筹法与经济数学研究会灰色系统专业委员会常务理事,中国运筹学会青年工作委员会委员,中国灾害防御协会风险分析专业委员会理事,南京信息工程大学经管学院副院长。2009年入选江苏省高校“青蓝工程”骨干教师培养对象,2012年入选江苏苏省高校“青蓝工程学术带头人”培养对象,2012、2016年入选江苏省333人才工程第三层次人选;2014年入选江苏省第六期“六大人才高峰”培养对象。目前主持国家自然科学基金三项 (其中两项结题),教育部人文社科基金一项,江苏省自然科学基金面上项目一项。主要从事不确定性决策理论、灰决策理论、气象灾害风险评估等方面的研究。Information Science, OMEGA, Soft computing, Int J of Approximate Reasoning, International Journal of Information Technology & Decision Making, Computer and Industrial Engineering, International Journal of Computational Intelligence Systems, Knowledge-Based Systems, Technological and Economic Development of Economy, Journal of the Operational Research Society, 系统工程理论与实践,控制与决策,自然灾害学报,自动化学报,运筹与管理等国际、国内期刊审稿人。在OMEGA,EJOR,KBS,ASC等中外学术期刊、会议发表相关论文70余篇,出版中英文专著、编著5部,其中SCI/SSCI(源)检索30余篇。