The contribution presents a flexible approach to model spatial decision strategies in GISs when either the data, or the knowledge of the phenomenon, or both, are affected by some form of imperfection. The proposal is particularly appealing for its flexibility and usefulness in many real applications encompassing geosciences, and environmental protection systems. Strategies based on fuzzy inference, soft integration of criteria with distinct importances, and consensual fusion are proposed and modeled within fuzzy set theory.
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Bordogna, G., Pagani, M., Pasi, G. (2007). A Flexible Decision Support Approach to Model ill-defined Knowledge in GIS. In: Morris, A., Kokhan, S. (eds) Geographic Uncertainty in Environmental Security. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6438-8_8
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DOI: https://doi.org/10.1007/978-1-4020-6438-8_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6436-4
Online ISBN: 978-1-4020-6438-8
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