Skip to main content
Log in

A Visual Comparison Method and Similarity Measure for Probabilistic Linguistic Term Sets and Their Applications in Multi-criteria Decision Making

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

The probabilistic linguistic term sets (PLTSs) are very powerful in solving the multi-criteria decision-making (MCDM) problems. The previous comparison methods associated with PLTSs are finite and unreasonable. Hence, developing a more effective way to compare PLTSs and proposing a reasonable decision-making method to cope with MCDM problems are important work of this paper. Firstly, a new possibility degree is proposed and a visual comparison method is given to present the process of comparing PLTSs. Subsequently, a similarity measure for PLTSs is also proposed to make up for the lack of similarity measure. Combining the new comparison method with the similarity measure, the TOPSIS is extended to solve real-life problems under probabilistic linguistic environment. Finally, a numerical example considers the selection of public opinion monitoring systems and the comparative analyses are shown to illustrate the effectiveness of the proposed method.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Ashtiani, B., Haghighirad, F., Makui, A., Montazer, G.: Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Appl. Soft Comput. 9, 457–461 (2009)

    Article  Google Scholar 

  2. Beg, I., Rashid, T.: TOPSIS for hesitant fuzzy linguistic term sets. Int. J. Intell. Syst. 28, 1162–1171 (2013)

    Article  Google Scholar 

  3. Bai, C.Z., Zhang, R., Qian, L.X., Wu, Y.N.: Comparisons of probabilistic linguistic term sets for multi-criteria decision making. Knowl. Based Syst. 119, 284–291 (2017)

    Article  Google Scholar 

  4. Bai, C.Z., Zhang, R., Shen, S., Huang, C.F., Fan, X.: Interval-valued probabilistic linguistic term sets in multi-criteria group decision making. Int. J. Intell. Syst. 33, 1301–1321 (2018)

    Article  Google Scholar 

  5. Boran, F.E., Genc, S., Kurt, M., Akay, D.: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst. Appl. 36, 11363–11368 (2009)

    Article  Google Scholar 

  6. Chen, C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114, 1–9 (2000)

    Article  MATH  Google Scholar 

  7. Cheng, X., Gu, J., Xu, Z.S.: Venture capital group decision-making with interaction under probabilistic linguistic environment. Knowl. Based Syst. 140, 82–91 (2017)

    Article  Google Scholar 

  8. Chu, T.C., Lin, Y.C.: An interval arithmetic based fuzzy TOPSIS model. Expert Syst. Appl. 36, 10870–10876 (2009)

    Article  Google Scholar 

  9. Celotto, A., Loia, V., Senatore, S.: Fuzzy linguistic approach to quality assessment model for electricity network infrastructure. Inf. Sci. 304, 1–15 (2015)

    Article  Google Scholar 

  10. Dong, Y.C., Hong, W.C., Xu, Y.F.: Measuring consistency of linguistic preference relations: a 2-tuple linguistic approach. Soft Comput. 17, 2117–2130 (2013)

    Article  Google Scholar 

  11. Dong, Y.C., Xu, Y.F., Yu, S.: Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model. IEEE Trans. Fuzzy Syst. 17, 1366–1378 (2009)

    Article  Google Scholar 

  12. Francisco, R.L.J., Lauro, O., Luiz, C.R.C.: A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Appl. Soft Comput. 21, 194–209 (2014)

    Article  Google Scholar 

  13. Farhadinia, B., Xu, Z.S.: Ordered weighted hesitant fuzzy information fusion-based approach to multiple attribute decision making with probabilistic linguistic term sets. Fundam. Inform. 159, 361–383 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  14. Gou, X.J., Xu, Z.S.: Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Inf. Sci. 372, 407–427 (2016)

    Article  Google Scholar 

  15. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst. 78, 73–87 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  16. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A rational consensus model in group decision making using linguistic assessments. Fuzzy Sets Syst. 88, 31–49 (1997)

    Article  MATH  Google Scholar 

  17. Herrera, F., Martínez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8, 746–752 (2000)

    Article  Google Scholar 

  18. Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making. Springer, Berlin (1981)

    Book  MATH  Google Scholar 

  19. Liang, D.C., Kobina, A., Wei, Q.: Grey relational analysis method for probabilistic linguistic multi-criteria group decision-making based on geometric bonferroni mean. Int. J. Fuzzy Syst. 20, 2234–2244 (2018)

    Article  Google Scholar 

  20. Li, Y.P., Chu, X.N., Chu, D.X., Geng, X.L., Wu, X.S.: An integrated approach to evaluate module partition schemes of complex products and systems based on interval-valued intuitionistic fuzzy sets. Int. J. Comput. Integr. Manuf. 27, 675–689 (2014)

    Article  Google Scholar 

  21. Li, M., Jin, L., Wang, J.: A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment. Appl. Soft Comput. 21, 28–37 (2014)

    Article  Google Scholar 

  22. Liu, H.B., Jiang, L., Xu, Z.S.: Entropy measures of probabilistic linguistic term sets. Int. J. Comput. Intell. Syst. 11, 45–57 (2018)

    Article  Google Scholar 

  23. Liao, H.C., Jiang, L.S., Xu, Z.S., Xu, J.P., Herrera, F.: A linear programming method for multiple criteria decision making with probabilistic linguistic information. Inf. Sci. 415–416, 341–355 (2017)

    Article  Google Scholar 

  24. Lin, M., Xu, Z.: Probabilistic linguistic distance measures and their applications in multi-criteria group decision making. Soft Computing Applications for Group Decision-Making and Consensus Modeling.  Springer, Cham (2018)

  25. Liao, H.C., Xu, Z.S., Zeng, X.J.: Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Trans. Fuzzy Syst. 23, 1343–1355 (2014)

    Article  Google Scholar 

  26. Liao, H.C., Xu, Z.S., Zeng, X.J., Merigó, J.M.: Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets. Knowl. Based Syst. 76, 127–138 (2015)

    Article  Google Scholar 

  27. Liu, P.D., Teng, F.: Some Muirhead mean operators for probabilistic linguistic term sets and their applications to multiple attribute decision-making. Appl. Soft Comput. 68, 396–431 (2018)

    Article  Google Scholar 

  28. Liu, P.D., You, X.L.: Probabilistic linguistic TODIM approach for multiple attribute decision-making. Granul. Comput. 2, 333–342 (2017)

    Article  Google Scholar 

  29. Martínez, L., Herrera, F.: An overview on the 2-tuple linguistic model for computing with words in decision making: extensions, applications and challenges. Inf. Sci. 207, 1–18 (2012)

    Article  MathSciNet  Google Scholar 

  30. Mahdavi, I., Mahdavi-Amiri, N., Heidarzade, A., Nourifar, R.: Designing a model of fuzzy TOPSIS in multiple criteria decision making. Appl. Math. Comput. 206, 607–617 (2008)

    MathSciNet  MATH  Google Scholar 

  31. Parreiras, R., Ekel, P.Y., Martini, J., Palhares, R.M.: A flexible consensus scheme for multicriteria group decision making under linguistic assessments. Inf. Sci. 180, 1075–1089 (2010)

    Article  Google Scholar 

  32. Pan, L., Ren, P.J., Xu, Z.S.: Therapeutic schedule evaluation for brain-metastasized non-small cell lung cancer with a probabilistic linguistic ELECTRE II method. Int. J. Environ. Res. Public Health 15, 1–23 (2018)

    Google Scholar 

  33. Peng, H.G., Zhang, H.Y., Wang, J.Q.: Cloud decision support model for selecting hotels on TripAdvisor.com with probabilistic linguistic information. Int. J. Hosp. Manag. 68, 124–138 (2018)

    Article  Google Scholar 

  34. Pang, Q., Wang, H., Xu, Z.S.: Probabilistic linguistic term sets in multi-attribute group decision making. Inf. Sci. 369, 128–143 (2016)

    Article  Google Scholar 

  35. Rashid, T., Beg, I., Husnine, S.M.: Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS. Appl. Soft Comput. 21, 462–468 (2014)

    Article  Google Scholar 

  36. Rodríguez, R.M., Martinez, L., Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Trans. Fuzzy Syst. 20, 109–119 (2012)

    Article  Google Scholar 

  37. Tao, Z.F., Chen, H.Y., Zhou, L.G., Liu, J.P.: 2-Tuple linguistic soft set and its application to group decision making. Soft Comput. 19, 1201–1213 (2015)

    Article  MATH  Google Scholar 

  38. Wang, Y.J.: The evaluation of financial performance for Taiwan container ship-ping companies by fuzzy TOPSIS. Appl. Soft Comput. 22, 28–35 (2014)

    Article  Google Scholar 

  39. Wang, J.H., Hao, J.: A new version of 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 14, 435–445 (2006)

    Article  Google Scholar 

  40. Wu, X.L., Liao, H.C., Xu, Z.S., Hafezalkotob, A., Herrera, F.: Probabilistic linguistic MULTIMOORA: a multi-criteria decision making method based on the probabilistic linguistic expectation function and the improved Borda rule. IEEE Trans. Fuzzy Syst. 26(6), 3688–3702 (2018)

    Article  Google Scholar 

  41. Wu, Z.B., Xu, J.P.: Possibility distribution-based approach for MAGDM with hesitant fuzzy linguistic information. IEEE Trans. Cybern. 46, 694–705 (2016)

    Article  Google Scholar 

  42. Wei, C.P., Zhao, N., Tang, X.J.: Operators and comparisons of hesitant fuzzy linguistic term sets. IEEE Trans. Fuzzy Syst. 22, 575–585 (2014)

    Article  Google Scholar 

  43. Xian, S.D., Dong, Y.F., Liu, Y.B., Jing, N.: A novel approach for linguistic group decision making based on generalized interval-valued intuitionistic fuzzy linguistic induced hybrid operator and TOPSIS. Int. J. Intell. Syst. 33(2), 288–314 (2018)

    Article  Google Scholar 

  44. Xu, Z.S.: A method based on linguistic aggregation operators for group decision making with linguistic preference relations. Inf. Sci. 166, 19–30 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  45. Xu, Z.S.: An approach based on the uncertain LOWG and induced uncertain LOWG operators to group decision making with uncertain multiplicative linguistic preference relations. Decis. Support Syst. 41, 488–499 (2006)

    Article  Google Scholar 

  46. Xu, Z.S., Wang, H.: On the syntax and semantics of virtual linguistic terms for information fusion in decision making. Inf. Fusion 34, 43–48 (2017)

    Article  Google Scholar 

  47. Xu, Z.S., Xia, M.: On distance and correlation measures of hesitant fuzzy information. Int. J. Intell.Syst. 26, 410–425 (2011)

    Article  MATH  Google Scholar 

  48. Xu, Z.S., Zhang, X.L.: Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowl. Based Syst. 52, 53–64 (2013)

    Article  Google Scholar 

  49. Wu, X.L., Liao, H.C.: An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making. Inf. Fusion 43, 13–26 (2018)

    Article  Google Scholar 

  50. Zhang, X.L.: A novel probabilistic linguistic approach for large-scale group decision making with incomplete weight information. Int. J. Fuzzy Syst. 20, 2245–2256 (2018)

    Article  Google Scholar 

  51. Zhang, P.H., She, S.X.: Assessment of service quality in wireless sensor networks with probabilistic linguistic term sets. Int. J. Online Eng. 13, 125–135 (2017)

    Article  Google Scholar 

  52. Zhang, X.L., Xing, X.M.: Probabilistic linguistic VIKOR method to evaluate green supply chain initiatives. Sustainability 9, 1–18 (2017)

    Google Scholar 

  53. Zhai, Y.L., Xu, Z.S., Liao, C.H.: Probabilistic linguistic vector-term set and its application in group decision making with multi-granular linguistic information. Appl. Soft Comput. 49, 801–816 (2016)

    Article  Google Scholar 

  54. Zhang, Y.X., Xu, Z.S., Liao, H.C.: A consensus process for group decision making with probabilistic linguistic preference relations. Inf. Sci. 44, 260–275 (2018)

    Google Scholar 

  55. Zhang, Y.X., Xu, Z.S., Liao, H.C.: An ordinal consistency-based group decision making process with probabilistic linguistic preference relation. Appl. Soft Comput. 467, 179–198 (2018)

    MathSciNet  Google Scholar 

  56. Zhang, Y.X., Xu, Z.S., Wang, H., Liao, H.C.: Consistency-based risk assessment with probabilistic linguistic preference relation. Appl. Soft Comput. 49, 817–833 (2016)

    Article  Google Scholar 

  57. Zhang, C.B., Zhang, H.Y., Wang, J.Q.: Personalized restaurant recommendation method combining group correlations and customer preferences. Inf. Sci. 454–455, 128–143 (2018)

    Article  Google Scholar 

Download references

Acknowledgements

The authors express their gratitude to the Editor and the anonymous Reviewers for their valuable and constructive comments. And this work was supported by the Graduate Teaching Reform Research Program of Chongqing Municipal Education Commission (No. YJG183074), Chongqing Social Science Planning Project (No. 2018YBSH085), Major entrustment projects of the Chongqing Bureau of quality and technology supervision (No. CQZJZD2018001), Chongqing research and innovation project of graduate students (Nos. CYS18252, CYS17227) and the Science and Technology Research Project of Chongqing Municipal Education Commission (Grant Number: KJQN201800624).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sidong Xian.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xian, S., Chai, J. & Yin, Y. A Visual Comparison Method and Similarity Measure for Probabilistic Linguistic Term Sets and Their Applications in Multi-criteria Decision Making. Int. J. Fuzzy Syst. 21, 1154–1169 (2019). https://doi.org/10.1007/s40815-019-00632-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-019-00632-y

Keywords

Navigation