Topography-based Fuzzy Assessment of Runoff Area with 3D Spatial Relations
Résumé
Fuzzy logic has been successfully used in various crisis management systems. In such systems, the geographical aspect is usually very important and relies on Geographical Information Systems. Most of the approaches are focused on 2D information. In this paper, we use the fuzzy morpho-mathematics framework to define new relations to reason on the topography with a digital terrain model. In particular, we focus on the characterisation of the line of greatest dip. Without loss of generality, we then illustrate those relations on a case of runoff from a building and a terrain.
Mots clés
artificial intelligence
machine learning
online learning
fuzzy logic
ExpressIF
crisis management system
Geographical Information System
fuzzy morpho-mathematics framework
topography
digital terrain model
greatest dip line
Fuzzy set
Crisis management
Three-dimensional displays
Buildings
Surfaces
Spatial Relationship
Runoff Areas
Loss Of Generality
Digital Model
Digital Elevation Model
Ground Level
Geographical Characteristics
Coordinates Of Points
Membership Function
Azimuth Angle
Object Of Interest
Membership Values
Object Point
Topological Relations
2D Object
Membership Scores
Triangulated Irregular Network
topographic fuzzy reasoning
Geographical reasoning
topographic fuzzy relations
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