Rough Sets and Current Trends in Computing 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings /

This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, held in Granada and Madrid, Spain, in July 2014. RSCTC 2014 together with the Conference on Rough Sets and Emerging Intelligent Systems Paradigms (RSEISP 2014...

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Bibliographic Details
Published in:Springer eBooks
Corporate Author: SpringerLink (Online service)
Other Authors: Cornelis, Chris (Editor), Kryszkiewicz, Marzena (Editor), Ślȩzak, Dominik (Editor), Ruiz, Ernestina Menasalvas (Editor), Bello, Rafael (Editor), Shang, Lin (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:Lecture Notes in Computer Science,
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-319-08644-6
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505 0 |a Fuzzy-rough hybridization -- Three way decisions and probabilistic rough sets -- New trends in formal concept analysis and related methods -- Fuzzy decision making and consensus -- Soft computing for learning from data -- Web information systems and decision making -- Image processing and intelligent systems. 
520 |a This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, held in Granada and Madrid, Spain, in July 2014. RSCTC 2014 together with the Conference on Rough Sets and Emerging Intelligent Systems Paradigms (RSEISP 2014) was held as a major part of the 2014 Joint Rough Set Symposium (JRS 2014) The 23 regular and 17 short papers presented were carefully reviewed and selected from 120 submissions. They are organized in topical sections such as fuzzy logic and rough set: tools for imperfect information; fuzzy-rough hybridization; three way decisions and probabilistic rough sets; new trends in formal concept analysis and related methods; fuzzy decision making and consensus; soft computing for learning from data; web information systems and decision making; image processing and intelligent systems. 
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