An Unsupervised Three-way Decisions Framework of Overload Preference Based on Adjusted Weight Multi-attribute Decision-making Model

In the process of traffic control, law-enforcement officials are required to accurately evaluate the potential probability of freight-driver's overloading behavior. This study establishes a model of overloading preference assessment on the basis of freight-driver's individual variation. Wi...

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Bibliographic Details
Published in:Procedia computer science 2016, Vol.102, p.143-149
Main Authors: Wu, Hao, Luo, Qing-yun, Chen, Si-yan, Zhang, Zhen-hua
Format: Article
Language:English
Subjects:
multi-attribute decision-making model
Overload preference
three-way decisions
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Summary:In the process of traffic control, law-enforcement officials are required to accurately evaluate the potential probability of freight-driver's overloading behavior. This study establishes a model of overloading preference assessment on the basis of freight-driver's individual variation. With indexes selecting, the equal-weight and AHP-based adjusted weight decision-making model are used respectively to evaluate freight-driver's overload preference. Synthesizing the results from two models, we present a three-way decisions model to make judgment.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.09.381