Risk Assessment of Avalanches - A Fuzzy Gis Application

Hemetsberger, Markus; Klinger, Gernot; Niederer, Sibylle; Benedikt, Josef

doi:10.1142/9789812777102_0048

Cited by 9 publications

(2 citation statements)

References 1 publication

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“…In Groeneman et al (1997) a fuzzy model based on fuzzy relations between land qualities and land units is applied for land evaluation; these fuzzy relations are used to describe the suitability for a particular crop. Hemetsberger et al (2002) propose a fuzzy classification model implemented in a GIS platform for avalanche risk assessment. A fuzzy relation model applied to assess the vulnerability of aquifers is proposed in Di Martino et al (2005a, b).…”

Section: Related Workmentioning

confidence: 99%

A GIS-based framework using fuzzy relation equation system solutions in urban planning

Cardone

Martino

2022

J Ambient Intell Human Comput

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Several fuzzy decision models are proposed in literature to solve urban planning problems. In this research we present a novel GIS-based framework to solve decision problems in urban planning based on a System of Fuzzy Relation Equations in which the unknowns represent characteristics affecting observable facts constituting the input variables. Aim of this research is to partition the urban study area into subzones, each of which identifies a sub-area of the study area within which the set of analyzed characteristics are homogeneous. The study area is initially decomposed in atomic urban areas called microzones; for each microzone are calculated the greatest and lowest solutions of a System of Fuzzy Relation Equations by using the Universal solution Algorithm and are calculated and fuzzified the values of the output variables. Spatially adjoining microzones with same output variables are dissolved forming homogeneous urban areas with reference to the problem analyzed, called Urban Contexts. For each output variable a thematic map is constructed; in addition, a thematic map of its reliability is created. This framework is tested on a study area given by the district of Ponticelli in the municipality of Naples (Italy); comparison tests performed with respect to a previous GIS-based framework based on a System of Fuzzy Relation Equations show that our method provides a more detailed knowledge of the characteristics of the urban study area with reference to the problem dealt with.

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Section: Related Workmentioning

confidence: 99%

A GIS-based framework using fuzzy relation equation system solutions in urban planning

Cardone

Martino

2022

J Ambient Intell Human Comput

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“…The diversity and the inhomogeneity between the individual layers of spatial information and the inaccuracy of the results can lead to uncertain decisions, so that one needs the use of fuzzy inference calculus to handle these uncertain information. Many authors [1][2][3][4][5] propose models to solve spatial problems based on fuzzy relational calculus. In this paper, we propose an inferential method to solve spatial problems based on an algorithm for the resolution of a system of fuzzy relation equations (shortly, SFRE) given in [6] (cf.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis and Fuzzy Relation Equations

Martino

Sessa

2011

Advances in Fuzzy Systems

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We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a Geographical Information System (GIS) tool, and the geographical area under study is divided in homogeneous subzones (with respect to the parameters involved) to which we apply our process to determine the symptoms after that an expert sets the SFRE with the values of the impact coefficients. We find that the best solutions and the related results are associated to each subzone. Among others, we define an index to evaluate the reliability of the results.

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Boundary of a fuzzy set and its application in GIS: a review

Jana

Mahanta

2022

Artif Intell Rev

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Risk Assessment of Avalanches - A Fuzzy Gis Application

Cited by 9 publications

References 1 publication

A GIS-based framework using fuzzy relation equation system solutions in urban planning

A GIS-based framework using fuzzy relation equation system solutions in urban planning

Spatial Analysis and Fuzzy Relation Equations

Boundary of a fuzzy set and its application in GIS: a review

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