Skip to main content

Laplacian Energy of a Complex Neutrosophic Graph

  • Chapter
  • First Online:
Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 369))

Abstract

After introducing and developing neutrosophic set theory, several research has been conducted in this area. In this chapter, the concept of energy of fuzzy graph, intuitionistic fuzzy graph , single valued neutrosophic graph are extended to the energy of a complex neutrosophic graph . We have defined the adjacency matrix of a complex neutrosophic graph and the energy of complex neutrosophic graph is defined in terms of its adjacency matrix. The lower and upper bounds for the energy of complex neutrosophic graph are also derived. In addition, we have defined the concept of Laplacian energy of a complex neutrosophic graph. A numerical example is provided for these concepts.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
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

References

  1. Akram, M., Davvaz, B.: Strong intuitionistic fuzzy graphs. Filomat 26, 177–196 (2012)

    Article  MathSciNet  Google Scholar 

  2. Akram, M. and Shahzadi, S.: Neutrosophic soft graphs with application. J. Intell. Fuzzy Syst. 1–18 (2016). https://doi.org/10.3233/jifs-16090

    Article  Google Scholar 

  3. Anjali, N., Mathew, S.: Energy of a fuzzy graph. Ann. Fuzzy Maths Inform. 6, 455–465 (2013)

    MathSciNet  MATH  Google Scholar 

  4. Alkouri, A., Salleh, A.: Complex intuitionistic fuzzy sets. In: International Conference on Fundamental and Applied Sciences, AIP Conference Proceedings, vol. 1482, pp. 464–470 (2012)

    Google Scholar 

  5. Ali, M., Smarandache, F.: Complex neutrosophic set. Neural Comput. Appl. (2015). https://doi.org/10.1007/s00521-015-2154-y

    Article  Google Scholar 

  6. Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)

    Article  Google Scholar 

  7. Bapat, R.B., Pati, S.: Energy of a graph is never an odd integer. Bull. Kerala Math. Assoc. 1, 129–132 (2004)

    MathSciNet  MATH  Google Scholar 

  8. Borzooei, R.A., Rashmanlou, H.: New concepts of vague graphs. Int. J. Mach. Learn. Cybern. 8(4), 1–12 (2015)

    MATH  Google Scholar 

  9. Broumi, S., Bakali, A., Talea, M., Smarandache, F.: Complex neutrosophic graphs of type 1. In: 2017 IEEE International Conference on Innovations in Intelligent Systems and Applications, Gdynia, Poland, 3–5 July 2017

    Google Scholar 

  10. Broumi, S., Smarandache, F., Talea, M., Bakali, A.: Single valued neutrosophic graphs: degree, order and size. In: IEEE International Conference on Fuzzy Systems, pp. 2444–2451(2016)

    Google Scholar 

  11. Broumi, S., Smarandache, F., Talea, M., Bakali, A.: An introduction to bipolar single valued neutrosophic graph theory. Appl. Mech. Mater. 841, 184–191 (2016). ISSN: 1662–7482

    Article  Google Scholar 

  12. Broumi, S., Talea, M., Bakali, A., Smarandache, F.: Single valued neutrosophic graphs. J. New Theor. N 10, 86–101 (2016)

    Google Scholar 

  13. Brualdi, R.A.: Energy of a graph. In: Notes to AIM Workshop on spectra of families of matrices described by graphs, digraphs, and sign patterns (2006)

    Google Scholar 

  14. Cyetkovic, D.M., Doob, M., Sachs, H.: Spectra of Graphs-Theory and Application. Academic Press, New York (1980)

    Google Scholar 

  15. Dhavaseelan, R., Vikramaprasad, R., Krishnaraj, V.: Certain types of neutrosophic graphs. Int. J. Math. Sci. Appl. 5(2), 333–339 (2015)

    Google Scholar 

  16. Deepa, G., Praba, B., Chandrasekaran, V.M.: A study on energy of an intuitionistic fuzzy directed graph. Research J. Pharm. and Tech. 9(2), 190–195 (2016)

    Article  Google Scholar 

  17. Gutman, I.: The energy of a graph. Ber. Math. Statist. Sekt. Forschungs-zentramGraz. 103, 1–22 (1978)

    MATH  Google Scholar 

  18. Gutman, I.: The energy of a graph: old and new results. In: Betten, A., Kohner, A., Laue, R., Wassermann, A. (eds.) Algebraic Combinatorics and Applications, pp. 196–211. Springer, Berlin (2001)

    Chapter  Google Scholar 

  19. Gutman, I., Zhou, B.: Laplacian energy of a graph. Linear Algebra Appl. 414, 29–37 (2006)

    Article  MathSciNet  Google Scholar 

  20. Kauffman, A.: Introduction a la theorie des sous ensembles Flous. Masson et Cie 1 (1973)

    Google Scholar 

  21. Kartheek, E., Sharief Basha, S.: Max-min intuitionistic laplacian fuzzy matrix of an intuitionistic fuzzy graph. Int. J. Pharm. Technol. 8(1), 11236–11247 (2016)

    Google Scholar 

  22. Liu, H., Lu, M., Tian, F.: Some upper bounds for the energy of graphs. J. Math. Chem. 42, 377–386 (2007)

    Article  MathSciNet  Google Scholar 

  23. Broumi, S., Dey, A., Bakali, A., Talea, M., Smarandache, F., Son, L.H., Koley D.: Uniform single valued neutrosophic graphs. Neutrosophic Sets and Systems 17, 42–49 (2017)

    Google Scholar 

  24. Pirzada, S., Gutman, I.: Energy of a graph is never the square root of an odd integer. Appl. Anal. Discrete Math. 2, 118–121 (2008)

    Article  MathSciNet  Google Scholar 

  25. Praba, B., Chandrasekaran, V.M., Deepa, G.: Energy of an intuitionistic fuzzy graph. Ital. J. Pure Appl. Math. 32, 431–444 (2014)

    MathSciNet  MATH  Google Scholar 

  26. Ramot, D., Milo, R., Friedman, M., Kandel, A.: Complex fuzzy sets. IEEE Trans. Fuzzy Syst. 10(2), 171–186 (2002)

    Article  Google Scholar 

  27. Ramot, D., Friedman, M., Langholz, G., Kandel, A.: Complex fuzzy logic. IEEE Trans. Fuzzy Syst. 11(4), 450–461 (2003)

    Article  Google Scholar 

  28. Rosenfeld, A.: Fuzzy graphs. In: Zadeh, L.A., Fu, K.S., Shimura, M. (eds.) Fuzzy Sets and their Applications, pp. 77–95. Academic Press, New York (1975)

    Google Scholar 

  29. Sharbaf, S.R., Fayazi, F.: Laplacian energy of a fuzzy graph. Iran. J. Math. Chem. 5(1), 1–10 (2014)

    MATH  Google Scholar 

  30. Sharief, Basha S., Das, R.: Energy of fuzzy graphs. A review. Int. J. Pharm. Technol. 8(1), 3514–3521 (2016)

    Google Scholar 

  31. Sharbaf, S.R., Fayazi, F.: Laplacian energy of a fuzzy graph. Iran. J. Math. Chem. 5, 1–10 (2014)

    MATH  Google Scholar 

  32. Smarandache, F.: A unifying field in logics. Neutrosophy: neutrosophic probability, set and logic. American Research Press, Rehoboth (1999)

    Google Scholar 

  33. Tamir, D.E., Rishe, N.D., Last, M., Kandel, A.: Soft computing based epidemical crisis prediction. In: Yager et al., R.R. (eds.) Intelligent Methods for Cyber Warfare, Studies in Computational Intelligence, vol. 563, Springer International Publishing, Switzerland (2015)

    Google Scholar 

  34. Thirunavukarasu, P., Sureh, R., Viswanathan, K.K.: Energy of a complex fuzzy graph. Int. J. of Mat. Sci. Appl. (IJMSEA) 10(1), 243–248 (2016). ISSN 0973-9424

    Google Scholar 

  35. Wang, H., Smarandache, F., Zhang, Y.Q., Sunderraman, R.: Single valued neutrosophic sets. Multispace Multistructure 4, 410–413 (2010)

    MATH  Google Scholar 

  36. Yang, H.L., Guo, Z.L., She, Y., Liao, X.: On single valued neutrosophic relations. J. Intell. Fuzzy Syst. 30(2), 1045–1056 (2016)

    Article  Google Scholar 

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

    Article  Google Scholar 

  38. Zadeh, L.A.: Similarity relations and fuzzy ordering. Inf. Sci. 3, 177–200 (1971)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohsin Khan .

Editor information

Editors and Affiliations

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

Khan, M., Umar, S., Broumi, S. (2019). Laplacian Energy of a Complex Neutrosophic Graph. In: Kahraman, C., Otay, Ä°. (eds) Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Studies in Fuzziness and Soft Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-00045-5_9

Download citation

Publish with us

Policies and ethics