A Fuzzy Identity-Based Temporal GIS for the Analysis of Geomorphometry Changes
作者： Myriem Sriti , Remy Thibaud , Christophe Claramunt
DOI: 10.1007/11496168_4
关键词: Geomorphometry 、 Artificial intelligence 、 Process (engineering) 、 Field (geography) 、 Fuzzy logic 、 Information system 、 Computer science 、 Geographic information system 、 Data mining 、 Temporal database 、 Abstraction (linguistics)
摘要: Despite recent progress in the development of temporal Geographical Information Systems (GIS) there is still a lack methodological integration with geophysical models oriented to study Earth changes. This paper introduces GIS modelling approach which complements process-based geomorphological experimental apparatus that simulates erosion-sedimentation phenomena over geological period time. We combine field-based discrete-based observation forms and changes at different levels abstraction. A fuzzy-based model evolution introduced allows for an approximation processes. State transitions are fuzzy-valued complemented by quantitative analysis change patterns.
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