讲座题目：大群体投票下多准则决策理论与方法
主 持 人： 巩在武 教授
讲座时间：4月27日，9:30-10:30
会议地址：阅江楼325
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专家简介：王周敬，浙江财经大学信息管理与人工智能学院教授。主持完成国家自然科学基金面上项目三项、高等学校博士学科点专项科研基金项目一项、浙江省自然科学基金面上项目三项、福建省自然科学基金重点项目一项、福建省自然科学基金面上项目一项。以第一作者或且通讯作者在《European Journal of Operational Research》、《Journal of the Operational Research Society》、《IEEE Transactions on Fuzzy Systems》、 《Information Sciences》、《Group Decision and Negotiation》《Fuzzy Sets and Systems》等知名期刊上发表学术论文八十余篇，入选爱思唯尔2019中国高被引学者（决策科学）、2020-2022中国高被引学者（管理科学与工程）。主要从事运筹与管理、多准则决策、群决策理论与方法、决策支持系统、工业工程与管理、知识管理与数据挖掘等领域的研究工作。
报告摘要：The framework of intuitionistic fuzzy preference relations (IFPRs) is an effective tool of representing pairwise preference order based large-scale group voting information. This study develops a novel intuitionistic fuzzy extension of Tanino’s additive consistency and proposes a formula to compute additive inconsistency indices of IFPRs. A new approach is brought forward to generate additively consistent IFPRs from vectors with intuitionistic fuzzy elements and a framework is put forward to normalize intuitionistic fuzzy vectors. Subsequently, a linear program is established to acquire an optimal and normalized intuitionistic fuzzy utility vector from any IFPR, and a closed-form solution based method is presented to obtain normalized intuitionistic fuzzy utility vectors from additively consistent IFPRs. An approach is proposed to tackle hierarchical multi-criteria decision making problems with pairwise preference order based large-scale group voting information. The reasonability and performance of the models developed are validated by a case study about outstanding teacher recommendation based on large-scale group votes on teaching satisfaction.
管理工程学院
2023.4.25
