Introducing the Book

Abstract

The collection of articles entitled Rough Sets in Knowledge Discovery: Applications, Case Studies and Software Systems which is presented to the reader reflects a variety of research themes pursued in Applications of Rough Set Theory to manifold real — life problems. The collection Rough Sets in Knowledge Discovery:Applications, Case Studies and Software Systems is divided into three Parts: APPLICATIONS (Part 1) where in consecutive chapters a discussion of theoretical principles and methods underlying specific applications of rough sets is undertaken, CASE STUDIES (Part 2) bringing forth papers illuminating applications of rough sets in various fields of expertise ranging from signal processing and image processing through information retrieval, civil engineering and industrial applications to applications in economic analysis and medical diagnosis and HYBRID APPROACHES (Part 3) consisting of chapters in which rough set techniques are either augmented or contrasted with other approaches to data analysis (e.g. discriminant analysis) or rough set — theoretic tools are enhanced by or enhance other tools of soft computing like neural networks, genetic algorithms, concurrent systems, Petri nets. The collection concludes with two Appendices. APPENDIX 1: ROUGH SET BIBLIOGRAPHY brings forth a list of about 1100 research papers devoted to Rough Set Theory and Applications collected from various sources, notably lists of papers sent by the authors represented in this volume. APPENDIX 2: SOFTWARE SYSTEMS consists of concise presentations of principal now existing software systems built on rough set theory principles.