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Wenbin Zheng, Jinjin Li and Shujiao Liao
Multi-label learning has become a hot topic in recent years, attracting scholars? attention, including applying the rough set model in multi-label learning. Exciting works that apply the rough set model into multi-label learning usually adapt the rough s...
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Huihui Xuan, Qing Liu, Lei Wang and Liu Yang
In the context of the decarbonization of the shipping industry, the application of clean energy technologies is a catalyst for decarbonization. With the number of potential clean energy technologies expanding, the uncertainties in terms of technology mat...
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Muhammad Reza Do Bagus and Shinya Hanaoka
The threat due to risk factors disrupts supply chain continuity. To ensure supply chain continuity, it is important to understand the interdependency between seaport risk factors and the threat of supply chain disruption, from an economic and risk manage...
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Aisha Adel, Nazlia Omar, Salwani Abdullah and Adel Al-Shabi
The process of eliminating irrelevant, redundant and noisy features while trying to maintain less information loss is known as a feature selection problem. Given the vast amount of the textual data generated and shared on the internet such as news report...
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Changchun Li and Chengxiang Hu
In multigranulation environments, variable precision multigranulation rough set (VPMGRS) is a useful framework that has a tolerance for errors. Approximations are basic concepts for knowledge acquisition and attribute reductions. Accelerating update of a...
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