Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing | SpringerLink
Skip to main content

Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing

  • Conference paper
  • First Online:
Fuzzy Logic and Technology, and Aggregation Operators (EUSFLAT 2023, AGOP 2023)

Abstract

It has been recently shown that in some applications, e.g., in ship navigation near a harbor, it is convenient to use combinations of basic colors – red, green, and blue – to represent different fuzzy degrees. In this paper, we provide a natural explanation for the efficiency of this empirical fact: namely, we show: (1) that it is reasonable to consider discrete fuzzy logics, (2) that it is reasonable to consider their interval-valued and set-valued extensions, and (3) that a set-valued extension of the 3-valued logic is naturally equivalent to the use of color combinations.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 11210
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 14013
Price includes VAT (Japan)
  • 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

Institutional subscriptions

Similar content being viewed by others

References

  1. Belnap, N.: How computers should think. In: Ryle, G. (ed.) Contemporary Aspects of Philosophy, pp. 30–56. Oriel Press, London (1975)

    Google Scholar 

  2. Belnap, N.: A useful four-valued logic. In: Dunn, J.M., Epstein, G. (eds.) Modern Uses of Multiple-Valued Logic. Episteme, vol. 2, pp. 5–37. Springer, Dordrecht (1977). https://doi.org/10.1007/978-94-010-1161-7_2

    Chapter  Google Scholar 

  3. Belohlavek, R., Dauben, J.W., Klir, G.J.: Fuzzy Logic and Mathematics: A Historical Perspective. Oxford University Press, New York (2017)

    Book  MATH  Google Scholar 

  4. Klir, G., Yuan, B.: Fuzzy Sets and Fuzzy Logic. Prentice Hall, Upper Saddle River (1995)

    MATH  Google Scholar 

  5. Mendel, J.M.: Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51370-6

    Book  MATH  Google Scholar 

  6. Miller, G.A.: The magical number seven plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63(2), 81–97 (1956)

    Article  Google Scholar 

  7. Reed, S.K.: Cognition: Theories and Application. SAGE Publications, Thousand Oaks (2022)

    Google Scholar 

  8. Nguyen, H.T., Walker, C.L., Walker, E.A.: A First Course in Fuzzy Logic. Chapman and Hall/CRC, Boca Raton (2019)

    MATH  Google Scholar 

  9. Novák, V., Perfilieva, I., Močkoř, J.: Mathematical Principles of Fuzzy Logic. Kluwer, Boston, Dordrecht (1999)

    Book  MATH  Google Scholar 

  10. Timchenko, V., Kondratenko, Y., Kreinovich, V.: Efficient optical approach to fuzzy data processing based on colors and light filter. Int. J. Prob. Control Inform. 52(4), 89–105 (2022)

    Google Scholar 

  11. Timchenko, V., Kondratenko, Y., Kreinovich, V.: Decision support system for the safety of ship navigation based on optical color logic gates. In: Proceedings of the IX International Conference “Information Technology and Implementation” IT &I-2022, Kyiv, Ukraine, 30 November - 2 December, 2022 (2022)

    Google Scholar 

  12. Timchenko, V., Kondratenko, Y., Kreinovich, V.: Implementation of optical logic gates based on color filters. In: Proceedings of the he 6th International Conference on Computer Science, Engineering and Education Applications ICCSEEA2023, Warsaw, Poland, 17–19 March, 2023 (2023)

    Google Scholar 

  13. Timchenko, V.L., Kondratenko, Y.P., Kreinovich, V.: Why Color Optical Computing? In: Phuong, N.H., Kreinovich, V. (eds.) Deep Learning and Other Soft Computing Techniques. Studies in Computational Intelligence, vol. 1097, pp. 227–233. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-29447-1_20

    Chapter  Google Scholar 

  14. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

Download references

Acknowledgment

The authors are greatly thankful the anonymous referees for valuable suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vladik Kreinovich .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Timchenko, V.L., Kondratenko, Y.P., Kreinovich, V. (2023). Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-39965-7_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39964-0

  • Online ISBN: 978-3-031-39965-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics