@BOOK { Rsds4991,
title = {Transactions on Rough Sets XI}, 
series =  = {Lecture Notes in Computer Science}, 
volume = 5946, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2010, 
editor = {Peters, James F. and Skowron, Andrzej}, 
url = {http://www.springer.com/computer/foundations/book/978-3-642-11478-6}, 
issn = {1861-2059}, 
isbn = {978-3-642-11478-6}, 
abstract = {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. The 10 articles contained in this volume introduce a number of advances in the foundations and applications of rough sets. The topics covered include calculus of attribute-value pairs useful in mining numerical data; definability and coalescence of approximations; a variable consistency generalization approach to bagging, controlled by measures of consistency;the use of classical and dominance-based rough sets in the search for genes; judgement about satisfiability with incomplete information; irreducible descriptive sets of attributes for information systems useful in the design of concurrent data models; computational theory of perceptions (CTP) and its characteristics and relation with fuzzy-granulation; methods and algorithms of Net-processing; and decision table reduction methods based on fuzzy rough sets. Written for: Researchers and professionals}, 
keywords = {mr image segmentation, Pawlak information system, web service classification, approximation space, balancing selection, bioinformatics, case based reasoning, classical rough sets approach, concept modeling, data mining, decision rules, decision table reduction, descriptor language, distributed computing, dominance-based rough sets approach, extensions, fuzzy granulation, fuzzy rough sets, information systems, irreducible descriptive sets, judgement making, knowledge discovery, maximal consistent, natural selection, neutrality tests, rough set theory, rough sets, rough-fuzzy computing, satisfiability of formulas, soft computing, }, 
}