Skip to main content

Model Base Fuzzy Inference

  • Chapter
  • 52 Accesses

Abstract

Intelligent Systems (referred to below as ISs) have created a need for new ways to solve the problems that arise in constructing them.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ageishi Y, Sasaki K (1990) A new approach to intelligent control (in Japanese). J Jpn System Control Information Soc 33 (6) : 324–331

    Google Scholar 

  2. Rasmussen J, Kaiho H, Kato T, Akai M, Tanabe F (1990) Interface recognition engineering (in Japanese). Keigaku Shuppan.

    Google Scholar 

  3. Nakamura K (1990) Explanation of the AI-RNA Model 01 (in Japanese). AdIn Research Institute.

    Google Scholar 

  4. Nakamura K (1990) Explanation of the AI-RNA Model X (in Japanese). AdIn Research Institute.

    Google Scholar 

  5. Landau ID, Tomizuka M (1981) Applied control system theory and practice (in Japanese). Ohm Sha.

    Google Scholar 

  6. Nakaya J, Nakamura K, Ageishi Y (1990) Knowledge acquisition in fuzzy inference systems (in Japanese). Collected Papers of the 1990 Nationwide Conference of the Artificial Intelligence Society, pp645–648

    Google Scholar 

  7. Ageishi Y (1988) Autonomous control systems using fuzzy inference (in Japanese). Collected Papers of the 2nd Nationwide Conference of the Artificial Intelligence Society, pp269–272

    Google Scholar 

  8. Ueno H (1986) Knowledge expression based on the concept of an object model, study of electronic communications (in Japanese). Papers of the Artificial Intelligence and Knowledge Processing Soc AI86–4

    Google Scholar 

  9. Nakamura K, Oyamada S, Horikawa R, Ageishi Y (1989) Searching for special vectors by fuzzy operations (in Japanese). Collected Papers from the 5th Fuzzy Systems Symposium, pp449–454

    Google Scholar 

  10. Ageishi Y, Nakamura K, Yaegashi K, Oyamada S, Murakami Y (1990) Achievement of artificial feeling using a human interface used in human problem solving models (in Japanese). Collected Papers of the 5th Fuzzy Systems Symposium, pp389–394

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Tokyo

About this chapter

Cite this chapter

Hirota, K. (1993). Model Base Fuzzy Inference. In: Hirota, K. (eds) Industrial Applications of Fuzzy Technology. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65877-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-65877-1_3

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-65879-5

  • Online ISBN: 978-4-431-65877-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics