Rough Sets: Selected Methods and Applications in Management and Engineering (Advanced Information and Knowledge Processing) - Hardcover

Hardcover

ISBN 10: 1447127595 ISBN 13: 9781447127598

Publisher: Springer, 2012

Synopsis

Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. 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.

Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.

About this title

From the Back Cover

Rough Set Theory was introduced in the early 1980's. In the last quarter century it has become an important part of soft computing and has proved its relevance in many real-world applications.

Initially most articles on Rough Sets were centered on theory, currently though the focus of the research has shifted to practical usage of mathematical advances. With this in mind this book is written for researchers at universities wanting to use Rough Sets to solve real-world problems and needing guidance on how best to describe their ideas in ways not only understandable to industry readers, but also for managers looking for methods to improve their businesses, and researchers in industrial laboratories and think-tanks investigating new methods to enhance the efficiency of their solutions.

Rough Sets: Selected Methods and Applications in Management and Engineering is unique in its focus on use cases backed by sound theory in contrast to the presentation of a theory applied to a problem. A diverse range of applications, including coverage of methods in data analysis, decision support as well as management and engineering, demonstrates the great potential of Rough Sets in almost any domain.

About the Author

Between June 2002 and January 2005, Doctor Bujorianu was a research associate in the Control Group, at the Department of Engineering at the University of Cambridge. After this appointment she remained in the Department as a research visitor for six months. During her appointment at Cambridge, she was involved in two European projects on hybrid systems: the IST-2001-38314 project COLUMBUS: “Design of Embedded Controllers for Safety Critical Systems” (partners: INRIA, University of Berkeley, PARADES (Rome), etc. http www.columbus.gr); and the IST-2001-32460 project HYBRIDGE: “Distributed Control and Stochastic Analysis of Hybrid Systems Supporting Safety Critical Real-Time Systems Design” (partners: National Aerospace Laboratory-NLR Amsterdam, BAE UK, Eurocontrol, AEA Technology, CENA, etc. http: www.nlr.nl/public/hosted-sites/hybridge) From November 2005 to June 2008 Doctor Bujorianu was a Research Associate with the Formal Methods and Tools Group at the Faculty of Mathematics and Computer Science, University of Twente, the Netherlands. Her research was funded by the NOW project AiSHA “Abstraction in Stochastic and Hybrid Process Algebra”. During her appointment with University of Twente, she was also involved in the German-Dutch project VOSS. Since June 2008 Manuela Bujorianu has been a Research Associate with the Centre for Interdisciplinary Computational and Dynamical Analysis (CICADA) at the University of Manchester in the UK.

Edition details

• Publisher: Springer
• Publication date: 2012
• ISBN 10: 1447127595
• ISBN 13: 9781447127598
• Binding: Hardcover
• Language: English
• Number of pages: 224
• Editor: Peters Georg, Lingras Pawan, Ślęzak Dominik, Yao Yiyu