Research on geological hazard susceptibility evaluation using an information value-modified entropy weight combined model
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Research is being conducted on evaluating geological hazard susceptibility using various combined models. The studies appear to be focused on different regions in china, including Honghe Prefecture, Liangshan Prefecture, and the Sichuan-Yunnan ecological barrier zone, and are utilizing a range of methods such as information value-modified entropy weight, machine learning, and random forest models. The specific applications of these models include seismic hazard analysis, landslide susceptibility zoning, and risk assessment of geologic hazards.
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