报告题目：Doctor recommendation based on an intuitionistic normal cloud model considering patient preferences
报告人： 杨雁 博士（中南大学）
时间：2019年 4 月 30 日 10:30-11:30
地点：管理学院第三会议室
报告内容摘要：
Chinese medical websites help patients search for satisfactory doctors via the Internet regardless of time and location. Existing websites systems recommend the same doctors for all patients using a global ranking but disregard patients preferences and online reviews. Additionally, these models do not consider the effects of interdependence among criteria when making recommendations. We propose a systematic decision support model to improve such recommendations using intuitionistic fuzzy sets (IFSs) with the Bonferroni mean (BM) to address interdependences. Our system accommodate patient preferences using multiple intuitionistic normal clouds (INCs). A case study using production data from haodf.com, the largest such website, shows that our model improves the diversity and coverage of doctor recommendations while considering patient preferences when compared to the existing haodf.com approach. This pattern continued with testing using data from several other Chinese healthcare sites. Our proposal is thus both applicable and readily implemented to improve the recommendations of these websites.
欢迎有兴趣的教师，全体博士生、硕士生参加。
学院高层次人才引进办公室
2019.4.25
【杨雁个人简介】
杨雁博士，现中南大学商学院应届博士生。主要研究方向为多准则决策理论与方法、医疗大数据分析等，其主要成果在Journal of Cleaner Production、Cognitive Computation、International Transactions in Operational Research等国外知名期刊发表。目前该讲座报告论文为发表于Cognitive Computation期刊的有关医生推荐的文章。
