Contributed Papers -- Propositional Logics from Rough Set Theory -- Intuitionistic Rough Sets for Database Applications -- An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values -- Pawlak’s Landscaping with Rough Sets -- A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts -- Data Preparation for Data Mining in Medical Data Sets -- A Wistech Paradigm for Intelligent Systems -- The Domain of Acoustics Seen from the Rough Sets Perspective -- Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study -- The Impact of Rough Set Research in China: In Commemoration of Professor Zdzis?aw Pawlak -- A Four-Valued Logic for Rough Set-Like Approximate Reasoning -- On Representation and Analysis of Crisp and Fuzzy Information Systems -- On Partial Covers, Reducts and Decision Rules with Weights -- A Personal View on AI, Rough Set Theory and Professor Pawlak -- Formal Topology and Information Systems -- On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory -- Discovering Association Rules in Incomplete Transactional Databases -- On Combined Classifiers, Rule Induction and Rough Sets -- Approximation Spaces in Multi Relational Knowledge Discovery -- Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy -- A Model PM for Preprocessing and Data Mining Proper Process -- Monographs -- Lattice Theory for Rough Sets.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume VI of the Transactions on Rough Sets (TRS) commemorates the life and work of Zdzislaw Pawlak (1926-2006). His legacy is rich and varied. Prof. Pawlak's research contributions have had far-reaching implications inasmuch as his works are fundamental in establishing new perspectives for scientific research in a wide spectrum of fields. This volume of the TRS presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak. In particular, this volume introduces a number of new advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science. These advances have significant implications in a number of research areas such as the foundations of rough sets, approximate reasoning, bioinformatics, computational intelligence, cognitive science, data mining, information systems, intelligent systems, machine intelligence, and security.