A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach

A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach

Abstract With the wide access to data and advanced technologies, organizations and firms prefer to use data-based and interpretable analytics to deal with uncertain and cognitive decision-making problems. In this regard, this study considers quantitative data and qualitative variables, to propose a...

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Bibliographic Details
Main Authors: Xinxin Wang, BingBing Zhang, Zeshui Xu, Ming Li, Marinko Skare
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Multi-dimensional decision
XGBoost algorithm
Nested probabilistic linguistic term sets
Constrained parametric approach
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Online Access:https://doi.org/10.1038/s41598-025-87207-0
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https://doi.org/10.1038/s41598-025-87207-0

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