Skip to main content

Possibility Theory and Fuzzy Optimization

  • Chapter
  • First Online:
Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 368))

Abstract

Fuzzy set theory is a powerful tool for representing vague phenomena and for linguistic representation in modern computers. The basic concept has been applied in many different areas. For the convenience of later discussions, some of the fuzzy concepts are summarized in this chapter. However, we shall not discuss the most basic aspects and assume the reader has some familiarity with fuzzy set theory. For more details, the reader can consult the many excellent books on this subject.

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
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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chi-Bin Cheng .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cheng, CB., Shih, HS., Lee, E.S. (2019). Possibility Theory and Fuzzy Optimization. In: Fuzzy and Multi-Level Decision Making: Soft Computing Approaches. Studies in Fuzziness and Soft Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-92525-7_3

Download citation

Publish with us

Policies and ethics