An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm

Abstract

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 Mamdanitype 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 dataindependent manner, was successful.

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

“…For instance, if the data distribution is close to normal, equal interval, or standard deviation, classifiers should be used. If the data distribution has a positive or negative skewness, the quantile or natural break distribution classifiers could be chosen (Akgun et al 2012). In this study, considering data distribution histogram, the quantile and natural break classifiers were applied to the data.…”

“…Confirmation should establish the quality (i.e., consistency, robustness, degree of fitting, and prediction skill) of the proposed susceptibility estimate (Yalcin et al 2011). In our study, validation of the susceptibility maps was checked by receiver operating characteristics (ROC) (Akgun et al 2012;Bui et al 2012;Ozdemir and Altural 2013). The ROC curve is a useful method for representing the quality of deterministic and probabilistic detection and forecast systems.…”

Landslide Susceptibility Mapping in Vertical Distribution Law of Precipitation Area: Case of the Xulong Hydropower Station Reservoir, Southwestern China

“…These variables were selected because they have been successfully used in previous studies [31,[49][50][51][52][53][54][55]. Note that there are few people living in the study area.…”

Analysis of Groundwater Quality using Mamdani Fuzzy Inference System (MFIS) in Yazd province, Iran

“…Although many methods for the composition of fuzzy relations (e.g., min-max, max-max, min-min, maxmin, etc.) are available in the literature, the max-min and max-product methods are the two most commonly used techniques [26]. Max-min composition is represented by Eq.…”