Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (Hardback, 1998)

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The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.