Editors:
- All editors hold positions in the International Rough Set Society
- First state-of-the-art survey of Rough Sets from an application perspective
- Contains a diverse range of applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (11 chapters)
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Front Matter
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Foundations of Rough Sets
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Front Matter
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Methods and Applications in Data Analysis
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Front Matter
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Methods and Applications in Decision Support
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Front Matter
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Methods and Applications in Management
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Front Matter
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Methods and Applications in Engineering
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Munich University of Applied Sciences, Munich, Germany
Georg Peters
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Dpt. of Mathematics and Computer Science, St. Mary's University, Halifax, Canada
Pawan Lingras
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University of Warsaw, Warsaw, Poland
Dominik Ślęzak
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Department of Computer Science, University of Regina, Regina, Canada
Yiyu Yao
Bibliographic Information
Book Title: Rough Sets: Selected Methods and Applications in Management and Engineering
Editors: Georg Peters, Pawan Lingras, Dominik Ślęzak, Yiyu Yao
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-4471-2760-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2012
Hardcover ISBN: 978-1-4471-2759-8Published: 22 February 2012
Softcover ISBN: 978-1-4471-6916-1Published: 23 August 2016
eBook ISBN: 978-1-4471-2760-4Published: 21 February 2012
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: X, 214
Topics: Artificial Intelligence, Computer Appl. in Administrative Data Processing