Title: Roughian - Rough Information Analysis
Authors: Ivo Düntsch , Dept of Computer Science , Brock University , St Catherines, Ontario, L2S 3A1, Canada
Günther Gediga , Institut für Evaluation und Marktanalysen; Brinkstr. 19; D-49143 Jeggen; Germany
(Equal authorship implied)
Status: International Journal of Intelligent Systems 46 (2001), 121 - 147
Abstract: We describe the rough set model for data analysis as introduced by Pawlak (1982), its tools, its advantages and its limits. We also suggest how it can be supplemented by procedures for data filtering, significance testing, and model selection which turn it into a viable tool for information analysis with a top - down approach, thus complementing traditional statistical models.

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