Skip to main content

Multi-L-soft Set and Its Application in Decision Making

  • Conference paper
  • First Online:
Quantitative Logic and Soft Computing 2016

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 510))

Abstract

In this paper, the concept of multi-L-soft set is proposed. It is a generalization of multi-fuzzy soft set. Then relations between multi-L-soft sets and operations on the multi-L-soft sets are defined, furthermore, properties of the operations are discussed. Finally, an illustrative example is given to show validity of the multi-interval-valued fuzzy soft set in decision making problem.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Institutional subscriptions

References

  1. Molodtsov, D.: Soft set theory-first results. Comput. Math. Appl. 37, 19–31 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  2. Molodtsov, D.: The Theory of Soft Sets. URSS Publisher, Moscow (2004). (in Russian)

    Google Scholar 

  3. Maji, P.K., Bismas, R., Roy, A.R.: Soft set theory. Comput. Math. Appl. 45, 555–562 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  4. Pei, D., Miao, D.: From soft sets to information systems. In: IEEE International Conference on Granular Computing. pp. 617–621 (2005)

    Google Scholar 

  5. Ali, M.I., Feng, F., Liu, X.Y., Win, W.K., Shabir, M.: On some new operations in soft set theory. Comput. Math. Appl. 57, 1547–1553 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  6. Aktas, H., Ca\(\check{g}\)man, N.: Soft sets and soft groups. Inf. Sci. 177, 2726–2735 (2007)

    Google Scholar 

  7. Jun, Y.B.: Soft BCK/BCI-algrbras. Comput. Math. Appl. 56, 1408–1413 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  8. Jun, Y.B., Park, C.H.: Applications of soft sets in ideal theory of BCK/BCI-algrbras. Inf. Sci. 178, 2466–2475 (2008)

    MathSciNet  MATH  Google Scholar 

  9. Jun, Y.B., Lee, K.J., Park, C.H.: Soft set theory applied to ideals in d-algebras. Comput. Math. Appl. 57, 367–378 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Park, C.H., Jun, Y.B., \(\ddot{O}\)zt\(\ddot{u}\)rk, M.A.: Soft WS-algebras. Korean Math. Soc. Commun. 23, 313–324 (2008)

    Google Scholar 

  11. Feng, F., Jun, Y.B., Zhao, X.: Soft semirings. Comput. Math. Appl. 56, 2621–2628 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  12. Roy, A.R., Maji, P.K.: A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math. 203, 412–418 (2007)

    Article  MATH  Google Scholar 

  13. Kong, Z., Gao, L., Wang, L.: Comment on A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math. 223, 540–542 (2008)

    Article  MATH  Google Scholar 

  14. Feng, F., Jun, Y.B.: An adjustable approach to fuzzy soft set based decision making. J. Comput. Appl. Math. 234, 10–20 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  15. Feng, F., Li, Y.M., Fotea, V.L.: Application of level soft sets in decision making based on interval-valued fuzzy soft set. Comput. Math. Appl. 60, 1756–1767 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  16. Maji, P.K., Roy, A.R., Bismas, R.: Soft set theory. Comput. Math. Appl. 44, 1077–1083 (2002)

    Article  MathSciNet  Google Scholar 

  17. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic, Boston. MA (1991)

    Book  MATH  Google Scholar 

  18. Chen, D., Tsang, E.C.C., Yeung, D.S., Wang, X.: The parametrization reduction of soft sets and its applications. Comput. Math. Appl. 49, 757–763 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  19. Herawan, T., Mustafa, M.D.: On Multi-soft Sets Construction in Information Systems. In: Huang, D.-S., Jo, K.-H., Lee, H.-H., Kang, H.J., Bevilacqua, V. (eds.) ICIC 2009. LNCS (LNAI), vol. 5755, pp. 101–110. Springer, Heidelberg (2009)

    Google Scholar 

  20. Maji, P.K., Biswas, R., Roy, A.R.: Fuzzy soft sets. Comput. Math. Appl. 9, 589–602 (2001)

    MathSciNet  MATH  Google Scholar 

  21. Sebastian, S., Ramakrishnan, T.V.: Multi-fuzzy sets: an extension of fuzzy sets. Comput. Math. Appl. 3, 35–43 (2011)

    MathSciNet  MATH  Google Scholar 

  22. Yang, Y., Tan, X., Meng, C.C.: The multi-fuzzy soft set and its application in decision making. Comput. Math. Appl. 37, 4915–4923 (2013)

    MathSciNet  Google Scholar 

  23. Yang, X.B., Lin, T.Y., Yang, J.Y., Li, Y., Yu, D.Y.: Combination of interval-valued fuzzy set and soft set. Comput. Math. Appl. 58, 521–527 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  24. Jun, Y.B., Yang, X.B.: A note on the paper Combination of interval-valued fuzzy set and soft set [Comput. Math. Appl. 58 (2009) 521–527]. Comput. Math. Appl. 61, 1468–1470 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This research is supported by the Special Fund of the Shaanxi Provincial Education Department (grant Nr. 2013JK0567, Nr. 16JK1373), and Shaanxi Provincial Natural Science Foundation (grant Nr. 2014JM1018).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wen-Qing Fu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Fu, WQ., Shen, Y. (2017). Multi-L-soft Set and Its Application in Decision Making. In: Fan, TH., Chen, SL., Wang, SM., Li, YM. (eds) Quantitative Logic and Soft Computing 2016. Advances in Intelligent Systems and Computing, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-46206-6_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46206-6_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46205-9

  • Online ISBN: 978-3-319-46206-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics