Skip to main content
Log in

Multiple attribute decision making based on immediate probabilities aggregation operators for single-valued and interval neutrosophic sets

  • Original Research
  • Published:
Journal of Applied Mathematics and Computing Aims and scope Submit manuscript

Abstract

The objective of this paper is to present novel algorithms for solving the multiple attribute decision-making problems under the neutrosophic set environment. Single-valued and interval neutrosophic sets are the important mechanisms for directing the decision-making queries with unknown and indeterminant data by employing a degree of “acceptance”, “indeterminacy”, and “non-acceptance” in quantitative terms. Also, to describe the behavior of the decision-maker objectively (in terms of probability) and subjectively (in terms of weights), a concept of probabilistic information plays a dominant role in the investigation. Keeping these features in mind, this paper presents several probabilistic and immediate probability-based averaging and geometric aggregation operators for the collection of the single-valued and interval neutrosophic sets. The advantage of these proposed operators is that it simultaneously combines the objective and subjective behavior of the decision-maker during the process. The various salient features of the proposed operators are studied. Later, we develop two new algorithms based on the aggregation operators to solve multiple attribute decision-making problems with single-valued and interval neutrosophic sets features. A numerical example related to the demonetization is given to demonstrate the presented approaches, and the advantages, as well as comparative analysis, are given to shows its influence over existing approaches.

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

Access this article

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

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Garg, H., Kumar, K.: Linguistic interval-valued Atanassov intuitionistic fuzzy sets and their applications to group decision-making problems. IEEE Trans. Fuzzy Syst. 27(12), 2302–2311 (2019)

    Google Scholar 

  2. Bustince, H., Barrenechea, E., Pagola, M., Fernandez, J., Xu, Z., Bedregal, B., Montero, J., Hagras, H., Herrera, F., De Baets, B.: A historical account of types of fuzzy sets and their relationships. IEEE Trans. Fuzzy Syst. 24(1), 179–194 (2016)

    Google Scholar 

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

    MATH  Google Scholar 

  4. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    MATH  Google Scholar 

  5. Garg, H., Kaur, G.: Cubic intuitionistic fuzzy sets and its fundamental properties. J. Mult. Valued Logic Soft Comput. 33(6), 507–537 (2019)

    Google Scholar 

  6. Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989)

    MathSciNet  MATH  Google Scholar 

  7. Xu, Z.S.: Intuitionistic fuzzy aggregation operators. IEEE Trans. Fuzzy Syst. 15, 1179–1187 (2007)

    Google Scholar 

  8. Garg, H.: Novel intuitionistic fuzzy decision making method based on an improved operation laws and its application. Eng. Appl. Artif. Intell. 60, 164–174 (2017)

    Google Scholar 

  9. Garg, H., Kumar, K.: An advanced study on the similarity measures of intuitionistic fuzzy sets based on the set pair analysis theory and their application in decision making. Soft Comput. 22(15), 4959–4970 (2018)

    MATH  Google Scholar 

  10. Kumar, K., Garg, H.: Connection number of set pair analysis based TOPSIS method on intuitionistic fuzzy sets and their application to decision making. Appl. Intell. 48(8), 2112–2119 (2018)

    Google Scholar 

  11. Arora, R., Garg, H.: Group decision-making method based on prioritized linguistic intuitionistic fuzzy aggregation operators and its fundamental properties. Comput. Appl. Math. 38(2), 1–36 (2019)

    MathSciNet  MATH  Google Scholar 

  12. Kaur, G., Garg, H.: Cubic intuitionistic fuzzy aggregation operators. Int. J. Uncertain. Quantif. 8(5), 405–427 (2018)

    MathSciNet  Google Scholar 

  13. Smarandache, F.: Neutrosophy. Neutrosophic Probability, Set, and Logic. ProQuest Information & Learning, Ann Arbor, Michigan, USA (1998)

    MATH  Google Scholar 

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

    MATH  Google Scholar 

  15. Wang, H., Smarandache, F., Zhang, Y.Q., Smarandache, R.: Interval Neutrosophic Sets and Logic: Theory and Applications in Computing. Hexis, Phoenix, AZ (2005)

    MATH  Google Scholar 

  16. Ye, J.: Multiple attribute decision-making method using correlation coefficients of normal neutrosophic sets. Symmetry 9, 80 (2017). https://doi.org/10.3390/sym9060080

    Article  Google Scholar 

  17. Rani, D., Garg, H.: Some modified results of the subtraction and division operations on interval neutrosophic sets. J. Exp. Theor. Artif. Intell. 31(4), 677–698 (2019)

    Google Scholar 

  18. Peng, J.J., Wang, J.Q., Wang, J., Zhang, H.Y., Chen, Z.H.: Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. Int. J. Syst. Sci. 47(10), 2342–2358 (2016)

    MATH  Google Scholar 

  19. Nancy, Garg H: An improved score function for ranking neutrosophic sets and its application to decision-making process. Int. J. Uncertain. Quantif. 6(5), 377–385 (2016)

    Google Scholar 

  20. Ye, J.: A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets. J. Intell. Fuzzy Syst. 26(5), 2459–2466 (2014)

    MathSciNet  MATH  Google Scholar 

  21. Zhang, H.Y., Wang, J.Q., Chen, X.H.: Interval neutrosophic sets and their application in multicriteria decision making problems. Sci. World J. 2014 (2014) Article ID 645953, 15 pages

  22. Aiwu, Z., Jianguo, D., Hongjun, G.: Interval valued neutrosophic sets and multi-attribute decision-making based on generalized weighted aggregation operator. J. Intell. Fuzzy Syst. 29, 2697–2706 (2015)

    MATH  Google Scholar 

  23. Nancy, Garg H: Novel single-valued neutrosophic decision making operators under Frank norm operations and its application. Int. J. Uncertain. Quantif. 6(4), 361–375 (2016)

    Google Scholar 

  24. Garg, H., Nancy: New logarithmic operational laws and their applications to multiattribute decision making for single-valued neutrosophic numbers. Cognit. Syst. Res. 52, 931–946 (2018)

    Google Scholar 

  25. Garg, H., Nancy: Non-linear programming method for multi-criteria decision making problems under interval neutrosophic set environment. Appl. Intell. 48(8), 2199–2213 (2018)

    Google Scholar 

  26. Liu, P., Chu, Y., Li, Y., Chen, Y.: Some generalized neutrosophic number hamacher aggregation operators and their application to group decision making. Int. J. Fuzzy Syst. 16(2), 242–255 (2014)

    Google Scholar 

  27. Peng, X.D., Liu, C.: Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J. Intell. Fuzzy Syst. 32(1), 955–968 (2017)

    MATH  Google Scholar 

  28. Garg, H., Nancy: Multi-criteria decision-making method based on prioritized muirhead mean aggregation operator under neutrosophic set environment. Symmetry 10(7), 280 (2018). https://doi.org/10.3390/sym10070280

    Article  Google Scholar 

  29. Garg, H., Nancy: Some hybrid weighted aggregation operators under neutrosophic set environment and their applications to multicriteria decision-making. Appl. Intell. 48(12), 4871–4888 (2018)

    Google Scholar 

  30. Ye, J.: Interval neutrosophic multiple attribute decision-making method with credibility information. Int. J. Fuzzy Syst. 18(5), 914–923 (2016)

    Google Scholar 

  31. Peng, X.D., Dai, J.G.: Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Comput. Appl. 29(10), 939–954 (2018)

    Google Scholar 

  32. Garg, H., Nancy: Multiple criteria decision making based on frank choquet heronian mean operator for single-valued neutrosophic sets. Appl. Comput. Math. 18(2), 163–188 (2019)

    MathSciNet  Google Scholar 

  33. Peng, X.D., Dai, J.G.: A bibliometric analysis of neutrosophic set: two decades review from 1998–2017. Artif. Intell. Rev. 53, 199–255 (2020)

    Google Scholar 

  34. Merigo, J.M.: Probabilistic decision making with the OWA operator and its application in investment management. In: Proceeding of the IFSA-EUSFLAT International Conference, Lisbon, Portugal, pp. 1364–1369 (2009)

  35. Merigo, J.M.: The probabilistic weighted average and its application in multiperson decision making. Int. J. Intell. Syst. 27(5), 457–476 (2012)

    Google Scholar 

  36. Yager, R.R., Engemann, K.J., Filev, D.P.: On the concept of immediate probabilities. Int. J. Intell. Syst. 10, 373–397 (1995)

    MATH  Google Scholar 

  37. Engemann, K.J., Filev, D., Yager, R.R.: Modelling decision making using immediate probabilities. Int. J. Gen. Syst. 24, 281–294 (1996)

    MATH  Google Scholar 

  38. Merigo, J.M.: Fuzzy decision making with immediate probabilities. Comput. Ind. Eng. 58(4), 651–657 (2010)

    Google Scholar 

  39. Garg, H.: Some methods for strategic decision-making problems with immediate probabilities in Pythagorean fuzzy environment. Int. J. Intell. Syst. 33(4), 687–712 (2018)

    Google Scholar 

  40. Wei, G.W., Merigo, J.M.: Methods for strategic decision-making problems with immediate probabilities in intuitionistic fuzzy setting. Sci. Iran. 19(6), 1936–1946 (2012)

    Google Scholar 

  41. Peng, H.G., Zhang, H.Y., Wang, J.Q.: Probability multi-valued neutrosophic sets and its application in multi-criteria group decision-making problems. Neural Comput. Appl. 30(2), 563–583 (2018)

    Google Scholar 

  42. Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Boston, MA (1997)

    MATH  Google Scholar 

  43. Garg, H., Kaur, G.: Quantifying gesture information in brain hemorrhage patients using probabilistic dual hesitant fuzzy sets with unknown probability information. Comput. Ind. Eng. 140, 106211 (2020). https://doi.org/10.1016/j.cie.2019.106211

    Article  Google Scholar 

  44. Garg, H., Nancy: Algorithms for possibility linguistic single-valued neutrosophic decision-making based on COPRAS and aggregation operators with new information measures. Measurement 138, 278–290 (2019)

    Google Scholar 

  45. Brzeziński, D.W.: Review of numerical methods for NumiLPT with computational accuracy assessment for fractional calculus. Appl. Math. Nonlinear Sci. 3(2), 487–502 (2018)

    MathSciNet  Google Scholar 

  46. Wu, J., Yuan, J., Gao, W.: Analysis of fractional factor system for data transmission in SDN. Appl. Math. Nonlinear Sci. 4(1), 283–288 (2019)

    MathSciNet  Google Scholar 

  47. Garg, H., Kaur, G.: A robust correlation coefficient for probabilistic dual hesitant fuzzy sets and its applications. Neural Comput. Appl. (2019). https://doi.org/10.1007/s00521-019-04362-y

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Harish Garg.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Garg, H., Nancy Multiple attribute decision making based on immediate probabilities aggregation operators for single-valued and interval neutrosophic sets. J. Appl. Math. Comput. 63, 619–653 (2020). https://doi.org/10.1007/s12190-020-01332-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12190-020-01332-9

Keywords