Applications, case studies and software systems

Z. Pawlak: Foreword L. Polkowski, A. Skowron: Introducing the Book.- Applications: S. Greco, B. Matarazzo, R. Slowinski: Rough Approximation of a Preference Relation in a Pairwise Comparison Table K. Krawiec, R. Slowinski, D. Vanderpooten: Learning Decision Rules form Similiarity Based Rough Approximations S. Hoa Nguyen, A. Skowron, P. Synak: Discovery of Data Patterns with Applications to Decomposition and Classification Problems Z.W. Ras: Answering Non-Standard Queries in Distributed Knowledge-Based Systems J. Stepaniuk: Approximation Spaces, Reducts and Representatives N. Zhong, J.Z. Dong, S. Ohsuga: Data Mining: A Probabilistic Rough Set Approach.- Case Studies: A. Czyzewski: Soft Processing of Audio Signals K. Furuta, M. Hirokane, Y. Mikumo: Extraction Method Based on Rough Set Theory of Rule-Type Knowledge from Diagnostic Cases of Slope-Failure Danger Levels B. Kostek: Soft Computing-Based Recognition of Musical Sounds A. Mrozel, K. Skabek: Rough Sets in Economic Applixations K. Slowinski, J. Stefanowski: Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis H. Tanaka, Y. Maeda: Reduction Methods for Medical Data S. Tsumoto: Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory D. Van den Poel: Rough Sets for Database Marketing H. Zang, R. Swiniarski: A New Halftoning Method Based on Error Diffusion with Rough Set Filtering.- Hybrid Approaches: C. Browne, I. Duntsch, G. gediga: IRIS Revisited: A Comparison of Discriminant and Enhanced Rough Set Data Analysis R. Lingras: Applications of Rough Patterns J.F. Peters III: Time and Clock Information Systems: Concepts and Roughly Fuzzy Petri Net Models Z. Suraj: The Synthesis Problem of ConcurrentSystems Specified by Dynamic Information Systems M.S. Szczuka: Rough Sets and Artificial Neural Networks J. Wroblewski: Genetic Algorithms in Decomposition and Classification Problems.- Appendix 1: Rough Set Bibliography.- Appendix 2: Software Systems.