Nothing Special   »   [go: up one dir, main page]

Skip to main content

Possibility Interval-Valued Multi-fuzzy Soft Sets and Theirs Applications

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

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

  • 623 Accesses

Abstract

The notions of interval-valued multi-fuzzy soft set and possibility interval-valued multi-fuzzy soft set are proposed in this paper. Several interesting algebraic properties of them are then investigated. In particular, both interval-valued multi-fuzzy soft set and possibility interval-valued multi-fuzzy soft set with union and intersection operators turn out to be distributive lattices. Finally, possibility interval-valued multi-fuzzy soft sets are applied to decision making and an illustrated example is given.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /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
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

Similar content being viewed by others

References

  1. Gorzalzany, M.B.: A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets Syst. 21, 1–17 (1987)

    Article  MathSciNet  Google Scholar 

  2. Hur, K., Jang, S.Y., Ahn, Y.S.: Intuitionistic fuzzy equivalence relations. Honam Math. J. 27(2), 163–181 (2005)

    MathSciNet  MATH  Google Scholar 

  3. Jiang, Y.C., Tang, Y., Chen, Q.M., Liu, H., Tang, T.C.: Interval-valued intuitionistic fuzzy soft sets and their properties. Comput. Math. Appl. 60, 906–918 (2010)

    Google Scholar 

  4. Maji, P.K., Biswas, R., Roy, A.R.: Fuzzy Soft Set. J. Fuzzy Math. 9(3), 589–602 (2001)

    Google Scholar 

  5. Maji, P.K., Biswas, R., Roy, A.R.: On intuitionistic fuzzy soft sets. J. Fuzzy Math. 12, 669–683 (2004)

    MathSciNet  MATH  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  7. Muharrem, D.: A new distance measure for interval valued intuitionistic fuzzy sets and its application to group decision making problems with incomplete weights information. Appl. Soft Comput. 41, 120–134 (2016)

    Article  Google Scholar 

  8. Sebastian, S., Ramakrishnan, T.V.: Multi-fuzzy sets: an extension of fuzzy sets. Fuzzy Inf. Eng. 1, 35–43 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  9. Xiao, Z., Chen, W.J., Li, L.L.: A method based on interval-valued fuzzy soft set for multi-attribute group decision-making problems under uncertain environment. Knowl. Inf. Syst. 34, 653–669 (2013)

    Article  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  11. Yang, Y., Peng, X.D., Chen, H., Zeng, L.: A decision making approach baesd on bipolar multi-fuzzy soft set theory. J. Intell. Fuzzy Syst. 27, 1861–1872 (2014)

    MathSciNet  MATH  Google Scholar 

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

    Google Scholar 

  13. Zhang, H.D., Shu, L.: Possibility multi-fuzzy soft set and its application in decision making. J. Intell. Fuzzy Syst. 27(4), 2115–2125 (2014)

    MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This work is supported by National Natural Science Foundation of China (Grant No. 11401495) and Students’ Extracurricular Open Experiment Project of Southwest Petroleum University (Grant No. KSZ15149).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian-Hua Jin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Li, DX., Jin, JH., Ran, W. (2017). Possibility Interval-Valued Multi-fuzzy Soft Sets and Theirs Applications. 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_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46206-6_49

  • 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