Contributed Papers.- Speech Coding Employing Intelligent Signal Processing Techniques.- Relational Attribute Systems II: Reasoning with Relations in Information Structures.- Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory.- Deriving Belief Networks and Belief Rules from Data: A Progress Report.- Selection of Important Attributes for Medical Diagnosis Systems.- Using Approximate Reduct and LVQ in Case Generation for CBR Classifiers.- Mining Rough Association from Text Documents for Web Information Gathering.- Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering.- Characterizing Pawlak's Approximation Operators.- Application of Rough Sets in Pattern Recognition.- Lower and Upper Approximations in Data Tables Containing Possibilistic Information.- Hybrid Rough Sets-Population Based System.- Hybrid Rough Sets Intelligent System Architecture for Survival Analysis.- Rough Sets in Bioinformatics.- Rough Feature Selection for Intelligent Classifiers.- Granulation as a Privacy Protection Mechanism.- A Note on Definability and Approximations.- Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory.- Monographs.- Novel Classification and Segmentation Techniques with Application to Remotely Sensed Images.

Together with volume VI of the Transactions on Rough Sets series, this book commemorates the life and work of Zdzislaw Pawlak (1926-2006). It presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak, introducing a number of advances in the foundations and applications of AI, engineering, logic, mathematics, and science, which have had significant implications in a number of research areas.