Volume 3, Issue 3, September 2010, Pages 370 - 381
Application of an advanced fuzzy logic model for landslide susceptibility analysis
- Biswajeet Pradhan
- Corresponding Author
- Biswajeet Pradhan
Available Online 1 September 2010.
- https://doi.org/10.2991/ijcis.2010.3.3.12How to use a DOI?
- Fuzzy relations; Fuzzy membership; Landslide susceptibility; GIS; Remote sensing; Klang valley; Maalysia.
- The aim of this study is to evaluate the susceptibility of landslides at Klang valley area, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. A data derived model (frequency ratio) and a knowledge-derived model (fuzzy operator) were combined for landslide susceptibility analysis. The nine factors that influence landslide occurrence were extracted from the database and the frequency ratio coefficient for each factor was computed. Using the factors and the identified landslide, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslide susceptibility mapping. Finally, the produced map was verified by comparing with existing landslide locations for calculating prediction accuracy. Among the fuzzy operators, in the case in which the gamma operator (Î» = 0.8) showed the best accuracy (91%) while the case in which the fuzzy algebraic product was applied showed the worst accuracy (79%).
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Biswajeet Pradhan PY - 2010 DA - 2010/09 TI - Application of an advanced fuzzy logic model for landslide susceptibility analysis JO - International Journal of Computational Intelligence Systems SP - 370 EP - 381 VL - 3 IS - 3 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2010.3.3.12 DO - https://doi.org/10.2991/ijcis.2010.3.3.12 ID - Pradhan2010 ER -