Skip to main content

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 381))

  • 258 Accesses

Abstract

In conventional Euclidean geometry, a straight line is obtained by extending a line segment bi-infinitely (second postulate of Euclid). Thus, a line is the locus of a point along a fixed direction. The slope of the line determines its direction and it is the inclination angle of the tangent to the positive x-axis. Any linear equation of two variables represents a straight line. But in fuzzy geometry a fuzzy line may not be expressed as a fuzzy linear equation. This chapter mainly addresses the questions: What is a fuzzy line? How to construct a fuzzy line? And what is the mathematical form of fuzzy line?

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

Notes

  1. 1.

    This supremum exists in the set considered, since \(\widetilde{L}_{2P}(\alpha )\) is a compact set. (Observation 3.2.2).

  2. 2.

    A translation is said to be rigid if it preserves relative distances—that is to say: if \(P_1\) and \(Q_1\) are transformed to \(P_2\) and \(Q_2\), then the distance from \(P_1\) to \(Q_1\) is equal to the distance from \(P_2\) to \(Q_2\).

References

  • Buckley, J.J., Qu, Y.: Solving systems of linear fuzzy equations. Fuzzy Sets Syst. 43(1), 33–43 (1991)

    Article  MathSciNet  Google Scholar 

  • Buckley, J.J., Eslami, E.: Fuzzy plane geometry I: points and lines. Fuzzy Sets Syst. 86, 179–187 (1997)

    Article  MathSciNet  Google Scholar 

  • Chakraborty, D., Ghosh, D.: Analytical fuzzy plane geometry II. Fuzzy Sets Syst. 243(1), 84–109 (2014)

    Article  MathSciNet  Google Scholar 

  • Ghosh, D., Chakraborty, D.: On general form of fuzzy lines and its application in fuzzy line fitting. J Intell Fuzzy Syst. 29(2), 659–671 (2015)

    Article  MathSciNet  Google Scholar 

  • Guibas, L., Salesin, D., Stolfi, J.: Epsilon geometry: building robust algorithms from imprecise computations. In: Proceedings of the 5th Annual Symposium on Computational Geometry, Saarbrüchen, Germany, ACM Press, pp. 208–217 (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Debjani Chakraborty .

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

Ghosh, D., Chakraborty, D. (2019). Fuzzy Line. In: An Introduction to Analytical Fuzzy Plane Geometry. Studies in Fuzziness and Soft Computing, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-030-15722-7_3

Download citation

Publish with us

Policies and ethics