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刘娜娜

数据驱动的决策方法、不确定决策理论与方法、智能决策、偏好分析




姓名:刘娜娜
职称:讲师
系别:beat365.com
办公地点:明德楼4014
邮箱:liunana_lnn@163.com
研究方向:数据驱动的决策方法、不确定决策理论与方法、智能决策、偏好分析等

教育背景:

2017-09 2022-06, 四川大学, 管理科学与工程专业, 博士

2018-10 2019-10, 曼彻斯特大学, 管理科学与工程专业, 联合培养硕士

2013-09 2017-06, 四川大学, 工程管理专业, 学士

科研情况:

以第一作者身份在SCI期刊、SSCI期刊发表论文多篇,代表作如下:

[1] Liu Nana; Xu Zeshui.; Zeng Xiao-Jun; Ren Peijia; An agglomerative hierarchical clustering algorithm for linear ordinal rankings, Information Sciences, 2021, 557(3): 170-193.

[2] Liu Nana; Xu Zeshui; Wu Hangyao; Ren Peijia; Conversion-based aggregation algorithms for linear ordinal rankings combined with granular computing, Knowledge-Based Systems, 2021, 219(5): 106880.

[3] Liu Nana; He Yue; Xu Zeshui; A new approach to deal with consistency and consensus issues for hesitant fuzzy linguistic preference relations, Applied Soft Computing, 2019, 76: 400-415.

[4] Liu Nana; Xu Zeshui; He Yue; Zeng Xiao-Jun; An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection, Fuzzy Optimization and Decision Making, 2021, 20(2): 397-428.

[5] Liu Nana; Xu Zeshui; Skare Marinko; The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics. Oeconomia Copernicana, 2021, 12(2): 217–268.

 

 

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