一、个人基本情况
柳曼，女，管理学博士，讲师。主要研究方向：管理决策、智能算法、模糊信息集成等。主讲课程：《管理学》、《供应链管理》、《创业管理》等。
二、代表性科研成果
（一）代表性学术论文
[1] 第一作者. Hesitant fuzzy long short-term memory network and its application in the intelligent building selection [J]. IEEE Transactions on Fuzzy Systems, 2024. DOI: 10.1109/TFUZZ.2024.3355000.
[2] 通讯作者. The dual-fuzzy convolutional neural network to deal with handwritten image recognition[J]. IEEE Transactions on Fuzzy Systems, 2022, 31(12): 5225–5236.
[3] 通讯作者. Evolutionary computation of the generalized hesitant fuzzy envelopment analysis and its application in the contractor selection of green building project[J]. IEEE Transactions on Engineering Management, 2023, 70(10): 3622–3636.
[4] 通讯作者. Occurrence probability derivation considering different behavior strategies and decision making under the probabilistic hesitant fuzzy environment[J]. Journal of the Operational Research Society, 2023, 74(6): 1554–1569.
[5] 第一作者. Transformation and learning of the non-equidimensional hesitant fuzzy information based on an extended generative adversarial network [J]. Information Sciences, 2024, 664: 120307.
[6] 第一作者. Generalized hesitant multiplicative preference relations and the analytic risk-network process[J]. Information Sciences, 2020, 540: 345–369.
[7] 通讯作者. Hesitant convolutional neural networks and intelligent drive algorithm fused subjective guidance [J]. Applied Soft Computing, 2023, 144: 110477.
[8] 通讯作者. Evolution learning method to derive missing elements and optimal classification under the connection hesitant fuzzy environment [J]. Computers & Industrial Engineering, 2024, 190: 110007.
[9] 通讯作者. Global fusion of multiple order relations and hesitant fuzzy decision analysis[J]. Applied Intelligence, 2022, 52(6): 6866–6888.
[10] 通讯作者. Machine learning methods based on probabilistic decision tree under the multi-valued preference environment[J]. Economic Research-Ekonomska Istraživanja, 2022, 35(1): 38–59.
（二）代表性科研项目
[1] 主持 云南省教育厅科学研究基金项目 2020Y0374 广义Sigmoid偏好关系及其模糊形式扩展与网络层次模型构建 2020.3.1–2021.10.30
[2] 主持 我校博士启动基金项目 23XWB034 融入犹豫信息的多模式学习方法及其在智能决策中的应用 2023.9.22–2025.9.22
[3] 参与 国家自然科学基金面上项目 72071176 多维异质偏好的无序融合与信息爬取及其在智能投资决策中的应用 2020.1至今
