Abstract
Ill-known environmental phenomena are often modeled by means of multisource spatial data fusion. Generally, these fusion strategies have to cope with distinct kinds of uncertainty, related to the ill-defined knowledge of the phenomenon, the lack of classified data, the distinct trust of the information sources, the imprecision of the observed variables. In this chapter we discuss the advantage of modeling multisource spatial data fusion in the environmental field based on the OWA operator, and overview two applications. The first application is aimed at defining an environmental indicator of anomaly at continental scale based on a fusion of partial hints of evidence of anomaly. The second application computes seismic hazard maps based on a consensual fusion strategy defined by an extended OWA operator that accounts for data imprecision, and reliability of the data sources. In particular, the proposed fusion function models a consensual dynamics and is parameterized so as to consider a varying spatial neighborhood of the data to fuse.
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Bordogna, G., Boschetti, M., Brivio, A., Carrara, P., Pagani, M., Stroppiana, D. (2011). Fusion Strategies Based on the OWA Operator in Environmental Applications. In: Yager, R.R., Kacprzyk, J., Beliakov, G. (eds) Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Studies in Fuzziness and Soft Computing, vol 265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17910-5_10
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DOI: https://doi.org/10.1007/978-3-642-17910-5_10
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