An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings

• Main Authors: WANG, Di, QIAN, Xiaolin, QUEK, Chai, TAN, Ah-hwee, MIAO, Chunyan, ZHANG, Xiaofeng, NG, Geok See, ZHOU, You
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Neural fuzzy inference system; Interpretable rules; Initial public offering; Financial decision support system; IPO underpricing; Computer Engineering; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5184; https://ink.library.smu.edu.sg/context/sis_research/article/6187/viewcontent/IPO.pdf
• Institution: Singapore Management University

Due to their aptitude in both accurate data processing and human comprehensible reasoning, neural fuzzy inference systems have been widely adopted in various application domains as decision support systems. Especially in real-world scenarios such as decision making in financial transactions, the hum...