Ditemukan 6 dokumen yang sesuai dengan query
James F. Peters, editor
Volume XV offers a number of research streams that have grown out of the seminal work by Zdzislaw Pawlak. The 4 contributions included in this volume presents a rough set approach in machine learning, the introduction of multi-valued near set theory, the advent of a complete system that supports a...
Berlin: [, Springer-Verlag], 2012
e20410247
eBooks Universitas Indonesia Library
Georg Peters, editor
Rough sets : selected methods and applications in management and engineering provides context to rough set theory, with each chapter exploring a real-world application of rough sets...
London: Springer, 2012
e20407587
eBooks Universitas Indonesia Library
Scherer, Rafal, author
The present book discusses the three fields, fuzzy systems, rough sets and ensemble techniques. As the trained ensemble should represent a single hypothesis, a lot of attention is placed on the possibility to combine fuzzy rules from fuzzy systems being members of classification ensemble. Furthermore, an emphasis is placed on...
Berlin: [Springer, ], 2012
e20398565
eBooks Universitas Indonesia Library
JingTao Yao, editor
This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with...
Berlin: [Springer-Verlag, ], 2012
e20410114
eBooks Universitas Indonesia Library
Tianrui Li, editor
This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012, held in Chengdu, China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21...
Berlin: [Springer-Verlag, ], 2012
e20410174
eBooks Universitas Indonesia Library
Liou, James J.H, author
This study differs from previous studies by applying multivariate statistical analysis and multi-criterion decision-making methods to the improvement of service quality. We use the rough set theory (RST) with a flow graph approach to determine customer attitudes regarding service quality, which can assist managers in developing strategies to improve service...
Taylor and Francis, 2016
658 JIPE 33:2 (2016)
Artikel Jurnal Universitas Indonesia Library
