Skip to main content

Part of the book series: Advanced Information Processing ((AIP))

Abstract

Fuzzy logic and fuzzy systems have received considerable attention both in scientific and popular media, yet the basic techniques of vagueness go back to at least the 1920s. Zadeh’s seminal paper in 1965 on fuzzy logic introduced much of the terminology that is used conventionally in fuzzy logic today. The considerable success of fuzzy logic products, as in automobiles, cameras, washing machines, rice cookers, etc. has done much to temper much of the scorn poured out by the academic community on the ideas first postulated by Zadeh. The existing fuzzy logic literature, number of international conferences and academic journals, together with a rapidly increasing number and diversity of applications is a testament to the vitality and importance of this subject, despite the continuing debate over its intellectual viability.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Harris, C., Hong, X., Gan, Q. (2002). Fuzzy and neurofuzzy modelling. In: Adaptive Modelling, Estimation and Fusion from Data. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18242-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-18242-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62119-2

  • Online ISBN: 978-3-642-18242-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics