An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, “MamLand,” was developed for the construction of a Mamdani fuzzy inference system and...
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Elsevier
2012
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my.upm.eprints.400622015-08-27T06:04:48Z http://psasir.upm.edu.my/id/eprint/40062/ An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm Akgun, Aykut Sezer, Ebru Akcapinar Nefeslioglu, Hakan A. Gokceoglu, Candan Pradhan, Biswajeet In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, “MamLand,” was developed for the construction of a Mamdani fuzzy inference system and employed in MATLAB. Using this newly developed program, it is possible to construct a landslide susceptibility map based on expert opinion. In this study, seven conditioning parameters characterising topographical, geological, and environmental conditions were included in the FIS. A landslide inventory dataset including 351 landslide locations was obtained for the study area. After completing the data production stage of the study, the data were processed using a soft computing approach, i.e., a Mamdani-type fuzzy inference system. In this system, only landslide conditioning data were assessed, and landslide inventory data were not included in the assessment approach. Thus, a file depicting the landslide susceptibility degrees for the study area was produced using the Mamdani FIS. These degrees were then exported into a GIS environment, and a landslide susceptibility map was produced and assessed in point of statistical interpretation. For this purpose, the obtained landslide susceptibility map and the landslide inventory data were compared, and an area under curve (AUC) obtained from receiver operating characteristics (ROC) assessment was carried out. From this assessment, the AUC value was found to be 0.855, indicating that this landslide susceptibility map, which was produced in a data-independent manner, was successful. Elsevier 2012-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/40062/1/An%20easy-to-use%20MATLAB%20program%20%28MamLand%29%20for%20the%20assessment%20of%20landslide%20susceptibility%20using%20a%20Mamdani%20fuzzy%20algorithm.pdf Akgun, Aykut and Sezer, Ebru Akcapinar and Nefeslioglu, Hakan A. and Gokceoglu, Candan and Pradhan, Biswajeet (2012) An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Computers & Geosciences, 38 (1). pp. 23-34. ISSN 0098-3004; ESSN: 1873-7803 http://www.sciencedirect.com/science/article/pii/S0098300411001440 10.1016/j.cageo.2011.04.012 |
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In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, “MamLand,” was developed for the construction of a Mamdani fuzzy inference system and employed in MATLAB. Using this newly developed program, it is possible to construct a landslide susceptibility map based on expert opinion. In this study, seven conditioning parameters characterising topographical, geological, and environmental conditions were included in the FIS. A landslide inventory dataset including 351 landslide locations was obtained for the study area. After completing the data production stage of the study, the data were processed using a soft computing approach, i.e., a Mamdani-type fuzzy inference system. In this system, only landslide conditioning data were assessed, and landslide inventory data were not included in the assessment approach. Thus, a file depicting the landslide susceptibility degrees for the study area was produced using the Mamdani FIS. These degrees were then exported into a GIS environment, and a landslide susceptibility map was produced and assessed in point of statistical interpretation. For this purpose, the obtained landslide susceptibility map and the landslide inventory data were compared, and an area under curve (AUC) obtained from receiver operating characteristics (ROC) assessment was carried out. From this assessment, the AUC value was found to be 0.855, indicating that this landslide susceptibility map, which was produced in a data-independent manner, was successful. |
format |
Article |
author |
Akgun, Aykut Sezer, Ebru Akcapinar Nefeslioglu, Hakan A. Gokceoglu, Candan Pradhan, Biswajeet |
spellingShingle |
Akgun, Aykut Sezer, Ebru Akcapinar Nefeslioglu, Hakan A. Gokceoglu, Candan Pradhan, Biswajeet An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
author_facet |
Akgun, Aykut Sezer, Ebru Akcapinar Nefeslioglu, Hakan A. Gokceoglu, Candan Pradhan, Biswajeet |
author_sort |
Akgun, Aykut |
title |
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
title_short |
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
title_full |
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
title_fullStr |
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
title_full_unstemmed |
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm |
title_sort |
easy-to-use matlab program (mamland) for the assessment of landslide susceptibility using a mamdani fuzzy algorithm |
publisher |
Elsevier |
publishDate |
2012 |
url |
http://psasir.upm.edu.my/id/eprint/40062/1/An%20easy-to-use%20MATLAB%20program%20%28MamLand%29%20for%20the%20assessment%20of%20landslide%20susceptibility%20using%20a%20Mamdani%20fuzzy%20algorithm.pdf http://psasir.upm.edu.my/id/eprint/40062/ http://www.sciencedirect.com/science/article/pii/S0098300411001440 |
_version_ |
1643832605525671936 |
score |
13.251813 |