Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems (Studies in Fuzziness and Soft Computing) (v. 2)

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. 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.