Skip to main content
SpringerLink
Log in
Book cover

Advances in Type-2 Fuzzy Sets and Systems

Theory and Applications

  • Book
  • © 2013

Overview

Editors:
  1. Alireza Sadeghian

    1. Ryerson University, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jerry M. Mendel

    1. Hughes Aircraft Electrical Engineering B, Department of Electrical Engineering - S, University of Southern California, Los Angeles, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Hooman Tahayori

    1. Ryerson University, Toronto, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Theoretical Foundations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Interval Type-2 Fuzzy Logic Systems and Perceptual Computers: Their Similarities and Differences

      • Jerry M. Mendel
      Pages 3-17

    3. A Survey of Continuous Karnik–Mendel Algorithms and Their Generalizations

      • Xinwang Liu
      Pages 19-31

    4. Two Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers: Adaptiveness and Novelty

      • Dongrui Wu
      Pages 33-48

    5. Interval Type-2 Fuzzy Markov Chains

      • Juan Carlos Figueroa-García
      Pages 49-64

    6. zSlices Based General Type-2 Fuzzy Sets and Systems

      • Christian Wagner, Hani Hagras
      Pages 65-80

    7. Geometric Type-2 Fuzzy Sets

      • Simon Coupland, Robert John
      Pages 81-96

    8. Type-2 Fuzzy Sets and Bichains

      • John Harding, Carol L. Walker, Elbert Walker
      Pages 97-112

    9. Type-2 Fuzzy Sets and Conceptual Spaces

      • Janet Aisbett, John T. Rickard
      Pages 113-129

  3. Type-2 Fuzzy Set Membership Function Generation

    1. Front Matter

      Pages 131-131
      Download chapter PDF

    2. Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services

      • Masoomeh Moharrer, Hooman Tahayori, Alireza Sadeghian
      Pages 133-146

    3. Construction of Interval Type-2 Fuzzy Sets From Fuzzy Sets: Methods and Applications

      • Miguel Pagola, Edurne Barrenechea, Javier Fernández, Aranzazu Jurio, Mikel Galar, Jose Antonio Sanz et al.
      Pages 147-163

    4. Interval Type-2 Fuzzy Membership Function Generation Methods for Representing Sample Data

      • Frank Chung-Hoon Rhee, Byung-In Choi
      Pages 165-184

  4. Applications

    1. Front Matter

      Pages 185-185
      Download chapter PDF

    2. Type-2 Fuzzy Logic in Image Analysis and Pattern Recognition

      • Patricia Melin, Oscar Castillo
      Pages 187-201

    3. Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic

      • Qun Ren, Luc Baron, Marek Balazinski, Krzysztof Jemielniak
      Pages 203-217

    4. A Review of Cluster Validation with an Example of Type-2 Fuzzy Application in R

      • Ibrahim Ozkan, I. Burhan TürkÅŸen
      Pages 219-236

    5. Type-2 Fuzzy Set and Fuzzy Ontology for Diet Application

      • Chang -Shing Lee, Mei -Hui Wang, Chin -Yuan Hsu, Zhi -Wei Chen
      Pages 237-256

  5. Back Matter

    Pages 257-262
    Download chapter PDF
Back to top

Keywords

About this book

This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet.  The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.

Editors and Affiliations

  • Ryerson University, Toronto, Canada

    Alireza Sadeghian, Hooman Tahayori

  • 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

  • Topics: Computational Intelligence, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation