LANDSLIDE SUSCEPTIBILITY ASSESSMENT THROUGH FUZZY LOGIC INFERENCE SYSTEM (FLIS)

7 citations as recorded by crossref.

1. Fuzzy set theory and pixel-based landslide risk assessment: the case of Shafe and Baso catchments, Gamo highland, Ethiopia L. Shano et al. https://doi.org/10.1007/s12145-022-00774-y
2. Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan B. Aslam et al. https://doi.org/10.1007/s10668-022-02314-6
3. Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach P. Sarkar et al. https://doi.org/10.1007/s00477-024-02885-y
4. Distinguishing compound and cumulative hazards using machine learning and fuzzy logic in multi-hazard susceptibility mapping J. Einali et al. https://doi.org/10.1038/s41598-026-52012-w
5. Landslide risk assessment employing susceptibility, run-out distances and vulnerability in a micro basin from Türkiye Z. Topacli et al. https://doi.org/10.1007/s10668-026-07343-z
6. GIS-based spatial landslide distribution analysis of district Neelum, AJ&K, Pakistan S. Naseer et al. https://doi.org/10.1007/s11069-021-04502-5
7. Spatio-temporal change detection of land use and land cover in Malakand Division Khyber Pakhtunkhwa, Pakistan, using remote sensing and geographic information system S. Gul et al. https://doi.org/10.1007/s11356-022-22960-7