杨雁

发布者:bet356体育娱乐APP发布时间:2020-08-27浏览次数:2849

姓名:杨雁

南京审计大学bet356体育娱乐APP

政治面貌:中共党员

职称:讲师

学位:中南大学管理学博士

研究领域:决策理论与方法、医疗大数据分析

教学课程:管理学、商务研究方法、Python语言程序设计

办公室:竞慧东楼502

电话:86-025-58318609

Emailyangyan@nau.edu.cn

通讯地址:南京市浦口区雨山西路86

邮编:211815

学习简历

2010.09 - 2014.07 中南大学bet356体育娱乐APP信息管理与信息系统专业 管理学学士

2014.09 - 2019.07 中南大学bet356体育娱乐APP管理科学与工程专业 管理学博士(硕博连读)

工作简历

2019.07-至今南京审计大学bet356体育娱乐APP讲师

主持参与课题

1.不确定环境下大数据驱动的个性化医生推荐研究,国家自然科学基金面上项目,71871229(参与)

2.环境大数据背景下交互网络系统的环境绩效评价方法及其应用研究,国家自然科学基金面上项目,71871223(参与)

发表论文

[1]    Yan Yang, Junhua Hu, Yongmei Liu, Xiaohong Chen. Doctor recommendation based on an intuitionistic normal cloud model considering patient preferences. Cognitive Computation, 2020, 12: 460-478.

[2]    Yan Yang, Junhua Hu, Yongmei Liu, Xiaohong Chen. Alternative selection of end-of-life vehicle management in China: A group decision-making approach based on picture hesitant fuzzy measurements. Journal of Cleaner Production, 2019, 206(1): 631-645.

[3]    Yan Yang, Junhua Hu, Yongmei Liu, Xiaohong Chen. A multi-period hybrid decision support model for medical diagnosis and treatment based on similarities and three-way decision theory. Expert Systems, 2019 ,36: e12377.

[4]    Yan Yang, Junhua Hu, Yongmei Liu, Xiaohong Chen. Triangular Hesitant Fuzzy Preference Relations and Their Applications in Multi-criteria Group Decision-Making[J]. FILOMAT, 2019, 33(3): 917-930.

[5]    Yan Yang, Junhua Hu, Ruixiao Sun, Xiaohong Chen, Medical tourism destinations prioritization using group decision making method with neutrosophic fuzzy preference relations, Scientia Iranica Transactions E: Industrial Engineering, 2018, 25(6): 3744-3864.

[6]    Yan Yang, Junhua Hu, Qingxian An, Xiaohong Chen, Group decision making with multiplicative triangular hesitant fuzzy preference relations and cooperative games method, International Journal for Uncertainty Quantification, 2017, 7(3): 271–284.

[7]    Junhua Hu, Yan Yang, Xiaolong Zhang, Xiaohong Chen. Similarity and entropy measures for hesitant fuzzy sets. International Transactions in Operational Research, 2018, 25(3): 857-886.


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