Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

Computers and Geosciences

Volumn 37, Issue 9, 2011, Pages 1264-1276

  Oh, Hyun Joo ^a   Pradhan, Biswajeet ^b,c  

^a Korea Institute of Geosceince and Mineral Resources   (South Korea)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^c UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Data mining; Fuzzy inference system (FIS); GIS; Landslide susceptibility; Malaysia; Remote sensing

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AERIAL PHOTOGRAPHS; EFFECTIVE TOOL; FIELD SURVEYS; FUZZY INFERENCE SYSTEM (FIS); HILLY AREAS; LAND-USE PLANNING; LANDSLIDE SUSCEPTIBILITY; MALAYSIA; MODEL SENSITIVITY; NEURO-FUZZY MODEL; PREDICTIVE MODELS; RECEIVER OPERATING CHARACTERISTICS; ROC CURVES; SHALLOW LANDSLIDE; SLOPE ANGLES; SOIL MAPS; SOIL TEXTURES; STREAM POWER INDEX; STUDY AREAS; SUSCEPTIBILITY MAPS; TEST LOCATION; TRUE NEGATIVE; TRUE POSITIVE FRACTIONS; VALIDATION RESULTS;

FUZZY INFERENCE; FUZZY SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; MAPPING; MEMBERSHIP FUNCTIONS; PHOTOGRAPHY; REMOTE SENSING;

LANDSLIDES;

ARTIFICIAL NEURAL NETWORK; DATA MINING; FUZZY MATHEMATICS; GIS; HILLSLOPE; LAND USE PLANNING; LANDSLIDE; REMOTE SENSING; SOIL TEXTURE; TOPOGRAPHIC MAPPING;

MALAYSIA;

EID: 80051570616     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2010.10.012     Document Type: Article

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