Rough Sets and Current Trends in Computing

9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014, Proceedings

Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang (Herausgeber)

Buch | Softcover

XIV, 394 Seiten

2014
Springer International Publishing (Verlag)
978-3-319-08643-9 (ISBN)

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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.

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.

Erscheint lt. Verlag	4.8.2014
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XIV, 394 p. 84 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	623 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Approximation • Information Retrieval • machine learning • perception • Recommender Systems • Robustness • traffic engineering algorithms • User Modeling • vagueness and fuzzy logic
ISBN-10	3-319-08643-X / 331908643X
ISBN-13	978-3-319-08643-9 / 9783319086439
Zustand	Neuware