Paper Info
Title
Spatial Representation of Coastal Risk: A Fuzzy Approach to Deal with Uncertainty.
Abstract
Spatial information for coastal risk assessment is inherently uncertain. This uncertainty may be due to different spatial and temporal components of geospatial data and to their semantics. The spatial uncertainty can be expressed either quantitatively or qualitatively. Spatial uncertainty in coastal risk assessment itself arises from poor spatial representation of risk zones. Indeed, coastal risk is inherently a dynamic, complex, scale-dependent, and vague, phenomenon in concept. In addition, representing the associated zones with polygons having well-defined boundaries does not provide a realistic method for efficient and accurate representing of the risk. This paper proposes a conceptual framework, based on fuzzy set theory, to deal with the problems of ill-defined risk zone boundaries and the inherent uncertainty issues. To do so, the nature and level of uncertainty, as well as the way to model it are characterized. Then, a fuzzy representation method is developed where the membership functions are derived based on expert-knowledge. The proposed approach is then applied in the Perce region (Eastern Quebec, Canada) and results are presented and discussed.
Year
DOI
Venue
2014
10.3390/ijgi3031077
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
uncertainty,fuzzy set theory,coastal erosion risk assessment,spatial representation,fuzzy object
Geospatial analysis,Spatial analysis,Data mining,Polygon,Fuzzy logic,Risk assessment,Uncertainty analysis,Fuzzy set,Artificial intelligence,Conceptual framework,Mathematics,Machine learning
Journal
Volume
Issue
Citations 
3
3
4
PageRank 
References 
Authors
0.51
19
4
Name
Order
Citations
PageRank
Amaneh Jadidi140.51
Mir Abolfazl Mostafavi214416.75
Yvan Bédard320222.80
Kyarash Shahriari492.32