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Test of Fuzzy Logic Rules for Landslide Susceptibility Assessment.

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TLDR
An exploratory attempt to use Fuzzy Logic Rules for mapping landslide susceptibility and the technique allows to describe the role of each predisposing factor (predictive variable) and their optimal combination.
Abstract
Landslide Susceptibility Assessment (LSA) is defined as the spatial probability for a landslide to be generated in an area for many environmental factors. Currently, two approaches are used: (i) the qualitative approach based on expert opinion and knowledge of the relationship between the observed phenomenon and some predisposing factors and (ii) the statistical approach based on the statistical analysis of the relationship between the observed landslide and some predisposing factors. This paper proposes an exploratory attempt to use Fuzzy Logic Rules for mapping landslide susceptibility. The technique allows to describe the role of each predisposing factor (predictive variable) and their optimal combination. The best predictive variables identified by Fuzzy Logic are then introduced in a statistical bivariate model. The simulated maps obtained by both approaches are then compared and evaluated with an expert map, build with the prescribed rules of the French PPR (Plan de Prevention des Risques) methodology, and considered as a map of reference.

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Citations
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Journal ArticleDOI

Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand

TL;DR: In this article, a geographic information system (GIS)-based approach for shallow landslide/debris-flow susceptibility assessment was developed to deal with uncertainties inherent in spatial analysis and limited knowledge on the relationship between conditioning factors and slope instability.
Dissertation

Susceptibilité du bassin de Barcelonnette (Alpes du Sud, France) aux 'mouvements de versant' : cartographie morphodynamique, analyse spatiale et modélisation probabiliste

TL;DR: In this paper, the authors present trois methodologies d'analyse spatiale and modelisations probabilistes based on the Logiques floues, the Theorie de l'evidence and les Regressions logistiques.
Book ChapterDOI

Medium-Scale Multi-hazard Risk Assessment of Gravitational Processes

TL;DR: In this article, the analysis of multi-hazards in a mountainous environment at a medium scale (1:25,000) using Geographic Information Systems is presented and problems related to the estimation of temporal and spatial probability are presented and discussed, and methods are shown for estimating the exposure, vulnerability and risk using risk curves that expressed the range of expected losses for different return periods.
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Modeling and risk assessment of landslides using fuzzy logic. Application on the slopes of the Algerian Tell (Algeria)

TL;DR: This work examines the contribution of fuzzy sets theory to modeling and assessment of landslides risk in natural slopes in an optimal classification of slopes according to the degree of instability risk to allow decision makers to put in strategies for possible work of these slopes.
References
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Book

Fuzzy Set Theory - and Its Applications

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A review of methods for the assessment of prediction errors in conservation presence/absence models

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Journal ArticleDOI

Landslide hazard assessment: summary review and new perspectives

TL;DR: In this paper, the authors present a summary review and a classification of the main approaches that have been developed world-wide for the assessment of hazard and risk of landsliding, and several considerations concerning acceptable risk and risk management are presented.
Journal ArticleDOI

Landslide hazard and risk zonation—why is it still so difficult?

TL;DR: In this paper, the authors review the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability.
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