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A Four-Valued Logic for Rough Set-Like Approximate Reasoning
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, TCSLAB - Theoretical Computer Science Laboratory.
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
2007 (English)In: Transactions on Rough Sets VI / [ed] James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy Grzymala-Busse, Ewa Orlowska and Lech Polkowski, Springer, 2007, Vol. 6, 176-190 p.Chapter in book (Refereed)
Abstract [en]

Annotation 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.

Place, publisher, year, edition, pages
Springer, 2007. Vol. 6, 176-190 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 4374/2007
National Category
Computer Science
URN: urn:nbn:se:liu:diva-40837DOI: 10.1007/978-3-540-71200-8_11Local ID: 54289ISBN: 3-540-71198-8 (print)ISBN: 978-3-540-71198-8 (print)OAI: diva2:261686
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-08-20Bibliographically approved

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