Editors:
- Explores real world problems which examines the frameworks that enable handling different types and levels of uncertainty
- Provides introductory materials for potential readers and providing justifications for the use of type-2 fuzzy set
- Discusses the applications of type-2 fuzzy sets in text classification, intrusion detection, control systems and will compare the efficiency and performance of the systems with their counterparts implemented with type-1 fuzzy sets
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 301)
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Table of contents (15 chapters)
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Front Matter
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Theoretical Foundations
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Front Matter
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Type-2 Fuzzy Set Membership Function Generation
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Front Matter
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Applications
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Ryerson University, Toronto, Canada
Alireza Sadeghian, Hooman Tahayori
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Hughes Aircraft Electrical Engineering B, Department of Electrical Engineering - S, University of Southern California, Los Angeles, USA
Jerry M. Mendel
About the editors
Alireza Sadeghian received the Ph.D. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada. Since 1999, he is Professor of Computer Science at Ryerson University in Toronto where he also holds the position of Chair and the founding Director of the Computational Intelligence Initiative (CI2) Lab. He has published over 90 technical papers in the areas of type-2 fuzzy sets, knowledge-based expert systems, artificial neural networks, adaptive neuro-fuzzy networks, and nonlinear modeling.
Jerry M. Mendel received the Ph.D. degree in electrical engineering from the Polytechnic Institute of Brooklyn, Brooklyn, NY. Currently he is Professor of Electrical Engineering and Systems Architecting Engineering at the University of Southern California in Los Angeles, where he has been since 1974. He has published over 500 technical papers and is author and/or editor of nine books, including Uncertain Rule-based Fuzzy Logic Systems: Introduction and New Directions (Prentice-Hall, 2001) and Perceptual Computing: Aiding People in Making Subjective Judgments (Wiley & IEEE Press, 2010). His present research interests include: type-2 fuzzy logic systems and their applications to a wide range of problems, including smart oil field technology, computing with words, and fuzzy set qualitative comparative analysis. He is a Life Fellow of the IEEE, a Distinguished Member of the IEEE Control Systems Society, and a Fellow of the International Fuzzy Systems Association. Among his awards are the 1983 Best Transactions Paper Award of the IEEE Geoscience and Remote Sensing Society, the 1992 Signal Processing Society Paper Award, the 2002 Transactions on Fuzzy Systems Outstanding Paper Award, a 1984 IEEE Centennial Medal, an IEEE Third Millenium Medal, and a Fuzzy Systems Pioneer Award (2008) from the IEEE Computational Intelligence Society.
Hooman Tahayori, received his Ph.D. degree in Informatics from Università Degli Studi diMilano, Italy in 2009. He completed his Honors master degree in Robotics and Artificial Intelligence and his Bachelor's degree with Honors in Computer Science-Hardware design respectively in 2000 and 1997 at Shiraz University. Currently, he is a post-doctoral research fellow in the Computational Intelligence Initiative (CI2) Lab in the Department of Computer Science at Ryerson University. His main areas of research interests are fuzzy sets of higher order, granular computing and their applications in various disciplines. He has published over 40 technical papers in the areas of type-2 fuzzy sets, shadowed sets and granular computing.
Bibliographic Information
Book Title: Advances in Type-2 Fuzzy Sets and Systems
Book Subtitle: Theory and Applications
Editors: Alireza Sadeghian, Jerry M. Mendel, Hooman Tahayori
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-1-4614-6666-6
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6665-9Published: 25 June 2013
Softcover ISBN: 978-1-4899-9998-6Published: 08 July 2015
eBook ISBN: 978-1-4614-6666-6Published: 25 June 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 262
Number of Illustrations: 62 b/w illustrations, 41 illustrations in colour