Explainable data-driven optimization for complex systems with non-preferential multiple outputs using belief rule base

To better handle problems with non-preferential multi-outputs (NPMO), a new approach is proposed in this study by employing the belief rule base (BRB) to provide a superior nonlinearity modeling ability as well as good explainability. The new approach is thus called NPMO–BRB. First, a new optimizati...

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Bibliographic Details
Main Authors: Chang, Leilei, Zhang, Limao
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160256
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Institution: Nanyang Technological University
Language: English