A hybrid machine learning framework for analyzing human decision-making through learning preferences * , **

doi:10.1016/j.omega.2020.102263

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 互联网大数据与安全信息学研究中心

	A hybrid machine learning framework for analyzing human decision-making through learning preferences * , **
	Guo, Mengzhuo 1,2; Zhang, Qingpeng 2; Liao, Xiuwu 1; Chen, Frank Youhua 3; Zeng, Daniel Dajun 4
刊名	OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
	2021-06-01
卷号	101 页码:18
关键词	Decision analysis Business analytics Predictive modeling Big data analytics Machine learning Multiple criteria decision analysis
ISSN号	0305-0483
DOI	10.1016/j.omega.2020.102263
通讯作者	Zhang, Qingpeng(qingpeng.zhang@cityu.edu.hk)
英文摘要	Multiple criteria decision aiding (MCDA) is a family of analytic approaches to depicting the rationale of human decisions. To better interpret the contributions of individual attributes to the decision maker, the conventional MCDA approaches assume that the attributes are monotonic and preference independence. However, the capacity in describing the decision maker & rsquo;s preferences is sacrificed as a result of model simplification. To meet the decision maker & rsquo;s demand for more accurate and interpretable decision models, we propose a novel hybrid method, namely Neural Network-based Multiple Criteria Decision Aiding (NN-MCDA), which combines MCDA model and machine learning to achieve better prediction performance while capturing the relationships between individual attributes and the prediction. NN-MCDA uses a linear component (in an additive form of a set of polynomial functions) to characterize such relationships through providing explicit non-monotonic marginal value functions, and a nonlinear component (in a standard multilayer perceptron form) to capture the implicit high-order interactions among attributes and their complex nonlinear transformations. We demonstrate the effectiveness of NN-MCDA with extensive simulation studies and three real-world datasets. The study sheds light on how to improve the prediction performance of MCDA models using machine learning techniques, and how to enhance the interpretability of machine learning models using MCDA approaches. (c) 2020 Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[71972164] ; National Natural Science Foundation of China[71672163] ; National Natural Science Foundation of China[71872144] ; National Natural Science Foundation of China[91846110] ; National Natural Science Foundation of China[71621002] ; Health and Medical Research Fund[16171991] ; Chinese Academy of Sciences[ZDRW-XH-2017-3] ; Ministry of Science and Technology of the People's Republic of China[2016QY02D0305]
WOS研究方向	Business & Economics ; Operations Research & Management Science
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000626604000010
资助机构	National Natural Science Foundation of China ; Health and Medical Research Fund ; Chinese Academy of Sciences ; Ministry of Science and Technology of the People's Republic of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44045]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者	Zhang, Qingpeng
作者单位	1.Xi An Jiao Tong Univ, Sch Management, Key Lab Minist Educ Proc Control & Efficiency Eng, Xian 710049, Peoples R China 2.City Univ Hong Kong, Sch Data Sci, Hong Kong 999077, Peoples R China 3.City Univ Hong Kong, Coll Business, Dept Management Sci, Hong Kong 999077, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Guo, Mengzhuo,Zhang, Qingpeng,Liao, Xiuwu,et al. A hybrid machine learning framework for analyzing human decision-making through learning preferences * , **[J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE,2021,101:18.
APA	Guo, Mengzhuo,Zhang, Qingpeng,Liao, Xiuwu,Chen, Frank Youhua,&Zeng, Daniel Dajun.(2021).A hybrid machine learning framework for analyzing human decision-making through learning preferences * , **.OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE,101,18.
MLA	Guo, Mengzhuo,et al."A hybrid machine learning framework for analyzing human decision-making through learning preferences * , **".OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 101(2021):18.