International Journal of Computational Intelligence Systems

Volume 3, Issue 3, September 2010, Pages 370 - 381

Application of an advanced fuzzy logic model for landslide susceptibility analysis

Authors
Biswajeet Pradhan
Corresponding Author
Biswajeet Pradhan
Available Online 1 September 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.3.12How to use a DOI?
Keywords
Fuzzy relations; Fuzzy membership; Landslide susceptibility; GIS; Remote sensing; Klang valley; Maalysia.
Abstract
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 (λ = 0.8) showed the best accuracy (91%) while the case in which the fuzzy algebraic product was applied showed the worst accuracy (79%).
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 3
Pages
370 - 381
Publication Date
2010/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.3.12How to use a DOI?
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  -