A new GRASS GIS fuzzy inference system for massive data analysis
نویسنده
چکیده
GIS systems are frequently coupled with fuzzy logic systems implemented in statistical packages. For large GIS data sets including millions or tens of millions of cells, such an approach is relatively timeconsuming. For very large data sets there is also an input/output bottleneck between the GIS and external software. The aim of this paper is to present low-level implementation of Mamdani’s fuzzy inference system designed to work with massive GIS data sets, using the GRASS GIS raster data processing engine. & 2010 Elsevier Ltd. All rights reserved.
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ورودعنوان ژورنال:
- Computers & Geosciences
دوره 37 شماره
صفحات -
تاریخ انتشار 2011