Abstract
In this paper we propose the concept of logically aggregated geographic suitability maps (S-maps). The goal of S-maps is to provide specialized maps of the suitability degree of a selected geographic region for a specific purpose. There is a wide spectrum of purposes which include suitability for industrial development, agriculture, housing, education, recreation, etc. Our goals are to specify main concepts of S-maps development, and to identify some of the potential application areas. Our approach is based on soft computing with partial truth and graded logic functions within the framework of the LSP method.
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Dujmović, J.J., De Tré, G., Van de Weghe, N. (2008). Suitability Maps Based on the LSP Method. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2008. Lecture Notes in Computer Science(), vol 5285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88269-5_3
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DOI: https://doi.org/10.1007/978-3-540-88269-5_3
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