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- W1926156596 abstract "An integrated system for the extraction of interpretable information granules from data is presented. The system, called HUGE (human understandable granule extraction), is designed as a highly reusable software framework that can embody several techniques for information granulation within a homogeneous user interface. HUGE includes a set of tools that enable both qualitative and quantitative evaluation of the results of a granulation technique. Visualization tools allow the user to assess graphically the properties of extracted information granules. Evaluation tools give the user the possibility to estimate numerically the quality of the derived granules. The usefulness of HUGE in supporting the user in a granulation process is shown through a case study concerning the design of an interpretable fuzzy inference system for predicting automobile fuel consumption." @default.
- W1926156596 created "2016-06-24" @default.
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- W1926156596 date "2005-12-10" @default.
- W1926156596 modified "2023-09-26" @default.
- W1926156596 title "HUGE: an integrated system for Human Understandable Granule Extraction" @default.
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- W1926156596 doi "https://doi.org/10.1109/nafips.2005.1548625" @default.
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