中文人名SUN Yannan 英文人名S.Taylor
模糊综合评价模型：
（1）[1]YANG Yang, ZHOU Zhengchao, BAI Yanying, CAI Yimin, CHEN Weiping. Risk Assessment of Heavy Metal Pollution in Sediments of the Fenghe River by the Fuzzy Synthetic Evaluation Model and Multivariate Statistical Methods[J]. Pedosphere, 2016, 26(3).
利用模糊综合评价模型和多元统计方法对汾河沉积物中重金属污染进行风险评价。
（2）[1]ZHANG Wei, SUN Ke, LEI Changzheng, ZHANG Yuncong, LI Huixin, F. Bill, Jr.Spencer. Fuzzy Analytic Hierarchy Process Synthetic Evaluation Models for the Health Monitoring of Shield Tunnels[J]. Computer‐Aided Civil and Infrastructure Engineering, 2014, 29(9).
盾构隧道健康监测的模糊层次分析法综合评价模型。
（3）[1]丁搴莽.基于模糊综合评价模型的共享单车核心竞争力分析[J].科学技术创新,2017(28):3-4.
（4）[1]A. K. Gorai, Kanchan, A. Upadhyay, P. Goyal. Design of fuzzy synthetic evaluation model for air quality assessment[J]. Environment Systems and Decisions, 2014, 34(3).
空气质量评价模糊综合评价模型的设计
（5）[2]TIAN Huizhu, JIN Chenxia. A new fuzzy synthetic evaluation model for teaching quality[P]. Machine Learning and Cybernetics (ICMLC), 2012 International Conference on, 2012.
一种新的教学质量模糊综合评价模型 （6）[3]MA Zhengxiang, DANG Shuping, A.Gholamzadeh, J. Ridge. Operational state diagnosis algorithm of the oil-immersed transformer based on fuzzy synthetic evaluation model[P]. Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on, 2014.
基于模糊综合评价模型的油浸变压器运行状态诊断算法
（7）[4]KE Xiaoling, ZHU Kejun, DIAO Fengqin. An Improved Fuzzy Synthetic Evaluation Model of Core Competence for Gold Mining Companies[P]. Management and Service Science, 2009. MASS '09. International Conference on, 2009.
一种改进的金矿企业核心竞争力模糊综合评价模型
聚类分析：
（1）[1]J. Blackhurst, M. Johnny, S. Kevin, S. Ambulkar. Supply chain vulnerability assessment: A network based visualization and clustering analysis approach[J]. Journal of Purchasing and Supply Management, 2017.
供应链脆弱性评估:基于网络的可视化和聚类分析方法
（2）[1]E. Nalichowska, R. Kopeć, M. Kłosowski. Clustering analysis as a new automatic method for distinguishing static and dynamic exposure to high energetic gamma rays using thermoluminescence detectors and a reader with a CCD camera[J]. Radiation Measurements, 2017, 107.
聚类分析作为一种新的自动方法，利用热释光检测器和带CCD摄像机的读卡器来区分静态和动态接触高能伽马射线。
（3）[1] LIU Zeliang, F. Mark, LIU Wingkam. Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials[J]. Computer Methods in Applied Mechanics and Engineering, 2017.
弹塑性应变软化材料自一致聚类分析的微结构材料数据库
（4）[1]P. Torruella, M. Estrader, A. López-Ortega, M. D. Baró, M. Varela, F. Peiró, S. Estradé. Clustering analysis strategies for Electron Energy Loss Spectroscopy (EELS)[J]. Ultramicroscopy, 2017.
电子能量损失谱的聚类分析策略
主成分分析方法：
（1）[1]LIU Ziluan, LI Xin. Short-term traffic forecasting based on principal component analysis and a generalized regression neural network for satellite
networks[J/OL]. The Journal of China Universities of Posts and Telecommunications: 2018, 28.
基于主成分分析的短期交通预测和卫星网络的广义回归神经网络
（2）[1]H. Klumpp, R. Bhaumik, L. K. Kerry, M. F. Jacklynn. Principal component analysis and neural predictors of emotion regulation[J]. Behavioural Brain Research, 2018, 338.
情绪调节的主成分分析和神经预测因子
（3）[1] C. K. Sumire, S. Sugita, S. Kamata, M. Ishiguro, T. Hiroi, E. Tatsumi, Sho Sasaki. Spectral decomposition of asteroid Itokawa based on principal component analysis[J]. Icarus, 2018, 299.
基于主成分分析的小行星Itokawa的光谱分解
（4）[1]J. Prawin, A. Rama Mohan Rao. An online input force time history reconstruction algorithm using dynamic principal component analysis[J]. Mechanical Systems and Signal Processing, 2018, 99.
一种利用动态主成分分析的在线输入强迫时间历史重建算法
Topsis方法：
（1）[1]SHEN Feng, MA Xinsong, LI Zhiyong, XU Zeshui, CAI Dongliang. An
extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation[J]. Information Sciences, 2018, 428.
一种基于新的距离度量的扩展直觉模糊TOPSIS方法，应用于信用风险评估
（2）[1]CHEN Wei, SHEN Yue, WANG Yanan. Evaluation of economic transformation and upgrading of resource-based cities in Shaanxi province based on an improved TOPSIS method[J]. Sustainable Cities and Society, 2018, 37.
基于改进TOPSIS法的陕西省资源型城市经济转型升级评价
（3）[1]NIU Dongxiao, SONG Zongyun, WANG Meng, XIAO Xinli. Improved TOPSIS method for power distribution network investment decision-making based on benefit evaluation indicator system[J]. International Journal of Energy Sector Management, 2017, 11(4).
改进了基于效益评价指标体系的配电网络投资决策TOPSIS法
（4）[1]K. Paul Yoon, W. Kyung Kim. The behavioral TOPSIS[J]. Expert Systems With Applications, 2017, 89.
行为TOPSIS
（5）[1]K. P. Subramaniya, C. Ajay Guru Dev, V. S. SenthilKumar. Critical Success Factors: A TOPSIS approach to increase Agility Level in a Textile Industry[J]. Materials Today: Proceedings, 2017, 4(2).
关键成功因素:一种提高纺织行业敏捷度的TOPSIS方法
层次分析法：
（1）[1]E. Zarghami, H. Azemati, D. Fatourehchi, M. Karamloo. Customizing well-known sustainability assessment tools for Iranian residential buildings using Fuzzy Analytic Hierarchy Process[J]. Building and Environment, 2018, 128.
采用模糊层次分析法对伊朗居住建筑的知名可持续评价工具进行定制。
（2）[1]HO William, MA Xin. The state-of-the-art integrations and applications of the analytic hierarchy process[J]. European Journal of Operational Research, 2017.
层次分析法的最先进的集成和应用
灰色关联
[1] 孙晓东,焦玥,胡劲松.基于灰色关联度和理想解法的决策方法研究[J].中国管理科
学,2005(04):63-68. [1]SUN Xiaodong, JIAO Yue, HU Jingsong. Research on Decision Making Methods Based on Gray Relational Degree and Ideal Solution[J]. Chinese Journal of Management Science, 2005(04): 63-68.
[2]曹明霞. 灰色关联分析模型及其应用的研究[D].南京航空航天大学,2007.
[2]CAO Mingxia. Research on Gray Correlation Analysis Model and Its Application[D]. Nanjing University of Aeronautics and Astronautics, 2007.
[3]雷学文,白世伟,孟庆山.灰色预测在软土地基沉降分析中的应用[J].岩土力学,2000(02):145-147. [3]LEI Xuewen, BAI Shiwei, MENG Qingshan. Application of Gray Prediction in Settlement Analysis of Soft Soil Ground[J]. Geomechanics, 2000(02): 145-147.
[4]刘思峰.灰色系统理论的产生与发展[J].南京航空航天大学学报,2004(02):267-272. [4]LIU Sifeng. The Emergence and Development of Gray System Theory[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2004(02):267-272.
[5] Hsin Hsilai, Yang Chenglin, Chung Hsingyeh. Form design of product
image using grey relational analysis and neural network models[J]. ScienceDirect, 2005: 2689–2711.
[6] D. Akay, M. Atak. Grey prediction with rolling mechanism for electricity
demand forecasting of Turkey. ScienceDirect, 2007: 1670–1675.
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