A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system
As an emerging digital servitization paradigm, smart product-service system (Smart PSS) leverages smart, connected products and their generated services to work as a solution bundle to improve individual user satisfaction. As a complex solution bundle at both system and product level, its iterative...
Main Authors: | Cong, Jingchen, Zheng, Pai, Bian, Yuan, Chen, Chun-Hsien, Li, Jianmin, Li, Xinyu |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161954 |
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